diff --git a/docs/howto/configure_llamaparse.md b/docs/howto/configure_llamaparse.md index 51c87d2..2c48fe8 100644 --- a/docs/howto/configure_llamaparse.md +++ b/docs/howto/configure_llamaparse.md @@ -1,347 +1,425 @@ ---- -title: Configure LlamaParse -description: How to set up the LlamaParse driver, configure the API key and parsing mode, and override options on a per-document basis for better extraction results. ---- - -# How to Configure LlamaParse - -This guide shows you how to configure the LlamaParse driver for document processing, including setting default options and overriding them on a per-document basis. - -## Prerequisites - -- Parxy installed with LlamaParse support: `pip install parxy[llama]` or via UV `uv add parxy[llama]` -- A LlamaParse API key from [LlamaIndex Cloud](https://cloud.llamaindex.ai/) - -## Quick Start - -### Step 1: Set Your API Key - -Create a `.env` file in your project directory: - -```bash -PARXY_LLAMAPARSE_API_KEY=llx-your-api-key-here -``` - -Or set it as an environment variable: - -```bash -export PARXY_LLAMAPARSE_API_KEY=llx-your-api-key-here -``` - -### Step 2: Parse a Document - -```python -from parxy_core.facade.parxy import Parxy - -doc = Parxy.parse("document.pdf", driver_name="llamaparse") -print(f"Processed {len(doc.pages)} pages") -``` - -## Configuration Options - -LlamaParse supports extensive configuration options that control parsing behavior. These can be set at two levels: - -1. **Default configuration** - Applied to all documents via environment variables or config -2. **Per-call overrides** - Applied to specific documents via kwargs - -### Environment Variables - -All LlamaParse configuration uses environment variables with the `PARXY_LLAMAPARSE_` prefix: - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_API_KEY` | string | None | Your LlamaParse API key | -| `PARXY_LLAMAPARSE_BASE_URL` | string | `https://api.cloud.eu.llamaindex.ai` | API endpoint | -| `PARXY_LLAMAPARSE_ORGANIZATION_ID` | string | None | Organization ID for usage tracking | -| `PARXY_LLAMAPARSE_PROJECT_ID` | string | None | Project ID for organization | - -#### Client Behavior - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_NUM_WORKERS` | int | `4` | Number of concurrent API workers | -| `PARXY_LLAMAPARSE_SHOW_PROGRESS` | bool | `False` | Show progress for multi-file parsing | -| `PARXY_LLAMAPARSE_VERBOSE` | bool | `False` | Print parsing progress | - -#### Parsing Mode - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_PARSE_MODE` | string | `parse_page_with_llm` | Parsing mode (see below) | -| `PARXY_LLAMAPARSE_PRESET` | string | None | Parser preset (overrides most options) | -| `PARXY_LLAMAPARSE_MODEL` | string | None | Document model for `parse_with_agent` mode | -| `PARXY_LLAMAPARSE_PREMIUM_MODE` | bool | `False` | Use best parser mode | -| `PARXY_LLAMAPARSE_FAST_MODE` | bool | `False` | Fast mode (skips OCR and reconstruction) | - -#### OCR and Extraction - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_DISABLE_OCR` | bool | `False` | Disable OCR (extract copyable text only) | -| `PARXY_LLAMAPARSE_DISABLE_IMAGE_EXTRACTION` | bool | `False` | Don't extract images (faster) | -| `PARXY_LLAMAPARSE_HIGH_RES_OCR` | bool | `False` | High resolution OCR (slower but more accurate) | -| `PARXY_LLAMAPARSE_EXTRACT_LAYOUT` | bool | `False` | Extract layout information (1 credit/page) | - -#### Text Handling - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_SKIP_DIAGONAL_TEXT` | bool | `False` | Skip diagonal/rotated text | -| `PARXY_LLAMAPARSE_LANGUAGE` | string | `en` | Document language | -| `PARXY_LLAMAPARSE_DO_NOT_UNROLL_COLUMNS` | bool | `False` | Preserve column layout | - -#### Page Selection - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_TARGET_PAGES` | string | None | Pages to extract (e.g., `0,2,5-10`) | -| `PARXY_LLAMAPARSE_MAX_PAGES` | int | None | Maximum pages to extract | - -#### Advanced Features - -| Variable | Type | Default | Description | -|----------|------|---------|-------------| -| `PARXY_LLAMAPARSE_CONTINUOUS_MODE` | bool | `False` | Better handling of tables across pages | -| `PARXY_LLAMAPARSE_AUTO_MODE` | bool | `False` | Auto-select mode based on content | -| `PARXY_LLAMAPARSE_DO_NOT_CACHE` | bool | `True` | Disable result caching | - -### Parsing Modes - -LlamaParse offers several parsing modes with different accuracy and cost trade-offs: - -| Mode | Credits/Page | Description | -|------|--------------|-------------| -| `parse_page_without_llm` | 1 | Fast extraction without LLM enhancement | -| `accurate` / `parse_page_with_llm` | 3 | LLM-enhanced extraction (recommended) | -| `parse_page_with_lvm` | 6 | Vision model for complex layouts | -| `parse_page_with_agent` | 10 | Agent-based extraction for complex documents | -| `parse_document_with_llm` | 30 | Document-level LLM processing | -| `parse_document_with_agent` | 30 | Document-level agent processing | - -## Per-Call Configuration Overrides - -You can override default configuration for specific documents by passing kwargs to `Parxy.parse()`: - -```python -from parxy_core.facade.parxy import Parxy - -# Use default configuration -doc1 = Parxy.parse("simple.pdf", driver_name="llamaparse") - -# Override for a specific document -doc2 = Parxy.parse( - "complex-cad-drawing.pdf", - driver_name="llamaparse", - skip_diagonal_text=True, # Skip rotated text in CAD drawings - high_res_ocr=True, # Better accuracy for small text -) - -# Different parsing mode for tables -doc3 = Parxy.parse( - "financial-report.pdf", - driver_name="llamaparse", - parse_mode="parse_page_with_lvm", # Vision model for complex tables - continuous_mode=True, # Handle tables spanning pages -) - -# Parse only specific pages -doc4 = Parxy.parse( - "large-document.pdf", - driver_name="llamaparse", - target_pages="0,5-10,15", # Only pages 0, 5-10, and 15 - max_pages=20, # Stop after 20 pages regardless -) -``` - -### Supported Per-Call Options - -The following options can be overridden per-call: - -- `model` - Document model for parse_with_agent -- `skip_diagonal_text` - Skip diagonal/rotated text -- `preset` - Parser preset -- `parse_mode` - Parsing mode -- `language` - Text language -- `target_pages` - Specific pages to parse -- `max_pages` - Maximum pages to extract -- `continuous_mode` - Better table handling across pages -- `disable_ocr` - Disable OCR -- `disable_image_extraction` - Don't extract images -- `fast_mode` - Speed over accuracy -- `premium_mode` - Best parser mode -- `high_res_ocr` - High resolution OCR -- `extract_layout` - Extract layout information -- `auto_mode` - Automatic mode selection -- `do_not_unroll_columns` - Preserve column layout - -## Use Cases - -### CAD Drawings and Technical Documents - -CAD drawings often have diagonal text labels that can interfere with extraction: - -```python -doc = Parxy.parse( - "blueprint.pdf", - driver_name="llamaparse", - skip_diagonal_text=True, - high_res_ocr=True, - language="en", -) -``` - -### Financial Reports with Complex Tables - -Financial documents often have tables that span multiple pages: - -```python -doc = Parxy.parse( - "annual-report.pdf", - driver_name="llamaparse", - parse_mode="parse_page_with_lvm", - continuous_mode=True, - extract_layout=True, -) -``` - -### Multi-Language Documents - -For documents in languages other than English: - -```python -doc = Parxy.parse( - "document-german.pdf", - driver_name="llamaparse", - language="de", -) -``` - -### Large Documents with Selective Extraction - -When you only need specific pages from a large document: - -```python -doc = Parxy.parse( - "large-manual.pdf", - driver_name="llamaparse", - target_pages="0-5,50-60", # Table of contents and specific chapter - max_pages=20, -) -``` - -### Speed-Optimized Processing - -When speed is more important than accuracy: - -```python -doc = Parxy.parse( - "simple-text.pdf", - driver_name="llamaparse", - fast_mode=True, - disable_image_extraction=True, - parse_mode="parse_page_without_llm", -) -``` - -### Quality-Optimized Processing - -When accuracy is critical: - -```python -doc = Parxy.parse( - "legal-contract.pdf", - driver_name="llamaparse", - premium_mode=True, - high_res_ocr=True, -) -``` - -## Programmatic Configuration - -You can also configure the driver programmatically: - -```python -from parxy_core.facade.parxy import Parxy -from parxy_core.models.config import LlamaParseConfig - -# Create custom configuration -config = LlamaParseConfig( - api_key="llx-your-api-key", - parse_mode="parse_page_with_llm", - language="en", - continuous_mode=True, -) - -# Get driver with custom config -driver = Parxy.driver("llamaparse", config=config) - -# Parse documents -doc = driver.handle("document.pdf", level="block") -``` - -## Cost Estimation - -Parxy automatically tracks parsing costs in the document metadata: - -```python -doc = Parxy.parse("document.pdf", driver_name="llamaparse") - -# Access cost information -metadata = doc.parsing_metadata -print(f"Estimated cost: {metadata.get('cost_estimation')} {metadata.get('cost_estimation_unit')}") -print(f"Parsing modes used: {metadata.get('parsing_mode_counts')}") -``` - -If you configure `PARXY_LLAMAPARSE_ORGANIZATION_ID`, Parxy will fetch actual usage metrics from the LlamaParse API for more accurate cost tracking. - -## Troubleshooting - -### Authentication Errors - -If you see 401/403 errors: - -1. Verify your API key is correct -2. Check the key has not expired -3. Ensure the key has access to the requested features - -```python -# Test authentication -from parxy_core.facade.parxy import Parxy -from parxy_core.models.config import LlamaParseConfig - -config = LlamaParseConfig(api_key="llx-your-key") -driver = Parxy.driver("llamaparse", config=config) -# If no error, authentication is working -``` - -### Slow Processing - -If parsing is slow: - -1. Use `fast_mode=True` for simple documents -2. Disable image extraction if not needed -3. Use `parse_page_without_llm` mode for basic text -4. Limit pages with `target_pages` or `max_pages` - -### Missing Text - -If text is missing from output: - -1. Enable `high_res_ocr=True` for scanned documents -2. Try `premium_mode=True` for better accuracy -3. Check if text is diagonal (`skip_diagonal_text=False`) -4. Use appropriate `language` setting - -### Tables Not Extracted Correctly - -For table extraction issues: - -1. Enable `continuous_mode=True` for multi-page tables -2. Use `parse_mode="parse_page_with_lvm"` for complex tables -3. Enable `extract_layout=True` for layout information - -## See Also - -- [LlamaParse Documentation](https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/) -- [LlamaIndex Cloud Pricing](https://developers.llamaindex.ai/python/cloud/general/pricing/) -- [Getting Started Tutorial](../tutorials/getting_started.md) +--- +title: Configure LlamaParse +description: How to set up the LlamaParse driver, configure the API key and parsing tier, and override options on a per-document basis for better extraction results. +--- + +# How to Configure LlamaParse + +This guide shows you how to configure the LlamaParse driver for document processing, including setting default options and overriding them on a per-document basis. + +## Prerequisites + +- Parxy installed with LlamaParse support: `pip install parxy[llama]` or via UV `uv add parxy[llama]` +- A LlamaParse API key from [LlamaIndex Cloud](https://cloud.llamaindex.ai/) + +> **Upgrade note (llama-cloud v2):** Parxy now uses the `llama-cloud` v2 SDK (previously `llama-cloud-services`). This brings a new API with breaking changes described in the [Upgrade Guide](#upgrade-guide-from-v1) at the bottom of this page. + +## Quick Start + +### Step 1: Set Your API Key + +Create a `.env` file in your project directory: + +```bash +PARXY_LLAMAPARSE_API_KEY=llx-your-api-key-here +``` + +Or set it as an environment variable: + +```bash +export PARXY_LLAMAPARSE_API_KEY=llx-your-api-key-here +``` + +### Step 2: Parse a Document + +```python +from parxy_core.facade.parxy import Parxy + +doc = Parxy.parse("document.pdf", driver_name="llamaparse") +print(f"Processed {len(doc.pages)} pages") +``` + +## Configuration Options + +LlamaParse supports extensive configuration options that control parsing behavior. These can be set at two levels: + +1. **Default configuration** — Applied to all documents via environment variables or config object +2. **Per-call overrides** — Applied to specific documents via kwargs + +### Environment Variables + +All LlamaParse configuration uses environment variables with the `PARXY_LLAMAPARSE_` prefix: + +#### Connection + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_API_KEY` | string | None | Your LlamaParse API key | +| `PARXY_LLAMAPARSE_BASE_URL` | string | `https://api.cloud.eu.llamaindex.ai` | API endpoint (override for region or self-hosted) | +| `PARXY_LLAMAPARSE_ORGANIZATION_ID` | string | None | Organization ID for usage tracking | +| `PARXY_LLAMAPARSE_PROJECT_ID` | string | None | Project ID | + +#### Parsing Tier + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_TIER` | string | `cost_effective` | Parsing tier: `fast`, `cost_effective`, `agentic`, `agentic_plus` | +| `PARXY_LLAMAPARSE_VERSION` | string | `latest` | Tier version. Use `latest` or a specific date string for reproducibility | +| `PARXY_LLAMAPARSE_PARSE_MODE` | string | None | Legacy mode name (automatically mapped to a tier — see below) | +| `PARXY_LLAMAPARSE_PREMIUM_MODE` | bool | `False` | Shorthand for `tier=agentic_plus` | +| `PARXY_LLAMAPARSE_FAST_MODE` | bool | `False` | Shorthand for `tier=fast` | + +#### OCR and Extraction + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_DISABLE_OCR` | bool | `False` | Disable OCR on embedded images | +| `PARXY_LLAMAPARSE_DISABLE_IMAGE_EXTRACTION` | bool | `False` | Skip image extraction (faster) | +| `PARXY_LLAMAPARSE_SKIP_DIAGONAL_TEXT` | bool | `False` | Skip diagonal/rotated text | +| `PARXY_LLAMAPARSE_LANGUAGE` | string | `en` | Primary OCR language | + +#### Output and Layout + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_DO_NOT_UNROLL_COLUMNS` | bool | `False` | Preserve multi-column layout | +| `PARXY_LLAMAPARSE_CONTINUOUS_MODE` | bool | `False` | Merge tables that span multiple pages | + +#### Page Selection + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_TARGET_PAGES` | string | None | Pages to extract — comma-separated **1-based** page numbers or ranges (e.g. `1,3,5-8`) | +| `PARXY_LLAMAPARSE_MAX_PAGES` | int | None | Maximum pages to extract | + +#### Caching and Behavior + +| Variable | Type | Default | Description | +|----------|------|---------|-------------| +| `PARXY_LLAMAPARSE_DO_NOT_CACHE` | bool | `True` | Bypass result caching | +| `PARXY_LLAMAPARSE_VERBOSE` | bool | `False` | Print progress indicators during parsing | + +### Parsing Tiers + +The LlamaParse v2 API uses **tiers** instead of the old `parse_mode` strings: + +| Tier | Credits/Page | Description | +|------|-------------|-------------| +| `fast` | 1 | Rule-based extraction, no AI, fastest and cheapest | +| `cost_effective` | 3 | Balanced quality and cost — **recommended default** | +| `agentic` | 6 | Full AI-powered parsing for complex layouts | +| `agentic_plus` | 10 | Premium AI with the highest accuracy | + +```python +from parxy_core.facade.parxy import Parxy + +# Use the default tier (cost_effective) +doc = Parxy.parse("document.pdf", driver_name="llamaparse") + +# Use a specific tier +doc = Parxy.parse("document.pdf", driver_name="llamaparse", tier="agentic") +``` + +## Per-Call Configuration Overrides + +You can override default configuration for specific documents by passing kwargs to `Parxy.parse()`: + +```python +from parxy_core.facade.parxy import Parxy + +# Use default configuration +doc1 = Parxy.parse("simple.pdf", driver_name="llamaparse") + +# Use agentic tier for a complex document +doc2 = Parxy.parse( + "complex-cad-drawing.pdf", + driver_name="llamaparse", + tier="agentic", + skip_diagonal_text=True, +) + +# Merge tables across pages +doc3 = Parxy.parse( + "financial-report.pdf", + driver_name="llamaparse", + tier="agentic", + continuous_mode=True, +) + +# Parse only specific pages +doc4 = Parxy.parse( + "large-document.pdf", + driver_name="llamaparse", + target_pages="1,6-11,16", # 1-based page numbers + max_pages=20, +) +``` + +### Supported Per-Call Options + +| Option | Description | +|--------|-------------| +| `tier` | Parsing tier (`fast`, `cost_effective`, `agentic`, `agentic_plus`) | +| `version` | API version string (default `latest`) | +| `parse_mode` | Legacy mode name — mapped to a tier automatically | +| `premium_mode` | If `True`, uses `agentic_plus` tier | +| `fast_mode` | If `True`, uses `fast` tier | +| `language` | OCR language code | +| `target_pages` | Specific pages (1-based, e.g. `'1,3,5-8'`) | +| `max_pages` | Maximum pages to extract | +| `skip_diagonal_text` | Skip text rotated at an angle | +| `do_not_unroll_columns` | Keep multi-column layout intact | +| `disable_image_extraction` | Skip image extraction | +| `disable_ocr` | Disable OCR on images | +| `continuous_mode` | Merge tables that span multiple pages | +| `do_not_cache` | Bypass result caching | + +## Use Cases + +### CAD Drawings and Technical Documents + +CAD drawings often have diagonal text labels that can interfere with extraction: + +```python +doc = Parxy.parse( + "blueprint.pdf", + driver_name="llamaparse", + tier="agentic", + skip_diagonal_text=True, + language="en", +) +``` + +### Financial Reports with Complex Tables + +Financial documents often have tables that span multiple pages: + +```python +doc = Parxy.parse( + "annual-report.pdf", + driver_name="llamaparse", + tier="agentic", + continuous_mode=True, +) +``` + +### Multi-Language Documents + +For documents in languages other than English: + +```python +doc = Parxy.parse( + "document-german.pdf", + driver_name="llamaparse", + language="de", +) +``` + +### Large Documents with Selective Extraction + +When you only need specific pages from a large document: + +```python +doc = Parxy.parse( + "large-manual.pdf", + driver_name="llamaparse", + target_pages="1-6,51-61", # Table of contents and specific chapter (1-based) + max_pages=20, +) +``` + +### Speed-Optimized Processing + +When speed is more important than accuracy: + +```python +doc = Parxy.parse( + "simple-text.pdf", + driver_name="llamaparse", + tier="fast", + disable_image_extraction=True, +) +``` + +### Quality-Optimized Processing + +When accuracy is critical: + +```python +doc = Parxy.parse( + "legal-contract.pdf", + driver_name="llamaparse", + tier="agentic_plus", +) +``` + +## Programmatic Configuration + +You can also configure the driver programmatically: + +```python +from parxy_core.facade.parxy import Parxy +from parxy_core.models.config import LlamaParseConfig + +config = LlamaParseConfig( + api_key="llx-your-api-key", + tier="cost_effective", + language="en", + continuous_mode=True, +) + +driver = Parxy.driver("llamaparse", config=config) +doc = driver.handle("document.pdf", level="block") +``` + +## Cost Estimation + +Parxy automatically tracks parsing costs in the document metadata: + +```python +doc = Parxy.parse("document.pdf", driver_name="llamaparse") + +metadata = doc.parsing_metadata +print(f"Job ID: {metadata.get('job_id')}") +print(f"Tier used: {metadata.get('tier')}") +print(f"Estimated cost: {metadata.get('cost_estimation')} {metadata.get('cost_estimation_unit')}") +``` + +If you configure `PARXY_LLAMAPARSE_ORGANIZATION_ID`, Parxy will fetch actual usage metrics from the LlamaParse API for more accurate cost tracking. + +## Troubleshooting + +### Authentication Errors + +If you see 401/403 errors: + +1. Verify your API key is correct +2. Check the key has not expired +3. Ensure the key has access to the requested tier + +### Slow Processing + +If parsing is slow: + +1. Use `tier="fast"` for simple text-based documents +2. Disable image extraction with `disable_image_extraction=True` +3. Limit pages with `target_pages` or `max_pages` + +### Missing Text + +If text is missing from output: + +1. Try a higher tier (`agentic` or `agentic_plus`) for better accuracy on complex layouts +2. Disable diagonal text filtering if you need angled text (`skip_diagonal_text=False`) +3. Set the appropriate `language` for non-English documents + +### Tables Not Extracted Correctly + +For table extraction issues: + +1. Enable `continuous_mode=True` for multi-page tables +2. Use `tier="agentic"` or `tier="agentic_plus"` for complex table layouts + +--- + +## Upgrade Guide from v1 + +This section covers what changed when upgrading from `llama-cloud-services` (API v1) to `llama-cloud` v2. + +### Dependency Change + +```toml +# Before (pyproject.toml) +llama = ["llama-cloud-services>=..."] + +# After +llama = ["llama-cloud>=2.0.0"] +``` + +### Parsing Tiers Replace Parse Modes + +The `parse_mode` string was replaced by the `tier` field. Existing `parse_mode` values are still accepted and automatically mapped — no code change required. For new code, prefer `tier` directly: + +| Old `parse_mode` | New `tier` | +|------------------|-----------| +| `parse_page_without_llm` | `fast` | +| `parse_page_with_llm` | `cost_effective` | +| `accurate` | `cost_effective` | +| `parse_page_with_lvm` | `agentic` | +| `parse_page_with_agent` | `agentic` | +| `parse_document_with_llm` | `agentic` | +| `parse_document_with_agent` | `agentic_plus` | + +```python +# Before (mapped automatically to tier) +Parxy.parse("doc.pdf", driver_name="llamaparse", parse_mode="parse_page_with_lvm") + +# After (preferred) +Parxy.parse("doc.pdf", driver_name="llamaparse", tier="agentic") +``` + +### `target_pages` Indexing Changed to 1-Based + +The old API used **0-based** page indexing. The new API uses **1-based** indexing: + +```python +# Before (0-based) +Parxy.parse("doc.pdf", driver_name="llamaparse", target_pages="0,2,5-10") + +# After (1-based) +Parxy.parse("doc.pdf", driver_name="llamaparse", target_pages="1,3,6-11") +``` + +### Removed Options + +The following options are no longer supported by the API and have been removed from `LlamaParseConfig`. Passing them as kwargs or environment variables is silently ignored. + +| Removed option | Reason | +|----------------|--------| +| `num_workers` | Not applicable — the v2 REST client manages concurrency internally | +| `show_progress` | Not applicable to the v2 REST client | +| `preset` | No equivalent in the v2 API | +| `model` | No equivalent in the v2 API | +| `high_res_ocr` | No direct equivalent in the v2 API | +| `extract_layout` | No direct equivalent in the v2 API | +| `auto_mode` | No direct equivalent in the v2 API | + +### `parsing_metadata` Structure Changed + +The `parsing_metadata` dictionary on parsed documents has a different shape: + +```python +# Before +metadata = { + "job_id": "...", + "job_metadata": "", # was a JSON-serialised string + "job_error": "...", + "job_error_code": "...", + "job_status": "...", + "page_parsing_modes": {1: "parse_page_with_llm", ...}, + "parsing_mode_counts": {"parse_page_with_llm": 3}, + "cost_estimation": 9, + "cost_estimation_unit": "credits", + "cost_data_source": "estimation", +} + +# After +metadata = { + "job_id": "...", + "job_metadata": {...}, # now a plain dict + "job_error": "...", # error_message from job object + "job_status": "COMPLETED", # COMPLETED | FAILED | CANCELLED + "tier": "cost_effective", # the tier used for this parse + "cost_estimation": 3, + "cost_estimation_unit": "credits", + "cost_data_source": "estimation", # or "beta_api" when organization_id is set +} +``` + +`page_parsing_modes` is no longer populated because the v2 API applies a single tier to the job, not per-page modes. + +## See Also + +- [LlamaParse Documentation](https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/) +- [LlamaIndex Cloud Pricing](https://developers.llamaindex.ai/python/cloud/general/pricing/) +- [Getting Started Tutorial](../tutorials/getting_started.md) diff --git a/docs/reference/configuration.md b/docs/reference/configuration.md index 2c92d7d..8ea71cb 100644 --- a/docs/reference/configuration.md +++ b/docs/reference/configuration.md @@ -55,30 +55,25 @@ Prefix: `PARXY_LLAMAPARSE_` | Variable | Default | Description | |----------|---------|-------------| -| `PARXY_LLAMAPARSE_BASE_URL` | `https://api.cloud.eu.llamaindex.ai` | The base URL of the Llama Parsing API. | -| `PARXY_LLAMAPARSE_API_KEY` | *(secret)* | The authentication key | +| `PARXY_LLAMAPARSE_BASE_URL` | `https://api.cloud.eu.llamaindex.ai` | The base URL of the LlamaParse API. | +| `PARXY_LLAMAPARSE_API_KEY` | *(secret)* | The authentication key. | | `PARXY_LLAMAPARSE_ORGANIZATION_ID` | - | The organization ID for the LlamaParse API. | | `PARXY_LLAMAPARSE_PROJECT_ID` | - | The project ID for the LlamaParse API. | -| `PARXY_LLAMAPARSE_NUM_WORKERS` | `4` | The number of workers to use sending API requests for parsing. | -| `PARXY_LLAMAPARSE_SHOW_PROGRESS` | `false` | Show progress when parsing multiple files. | -| `PARXY_LLAMAPARSE_VERBOSE` | `false` | Whether to print the progress of the parsing. | -| `PARXY_LLAMAPARSE_PARSE_MODE` | `parse_page_with_llm` | Parsing mode to use. | -| `PARXY_LLAMAPARSE_PRESET` | - | Parser preset. | -| `PARXY_LLAMAPARSE_MODEL` | - | Document model name for parse_with_agent mode. | -| `PARXY_LLAMAPARSE_PREMIUM_MODE` | `false` | Use best parser mode if set to True. | -| `PARXY_LLAMAPARSE_FAST_MODE` | `false` | Use faster mode that skips OCR of images and table/heading reconstruction. | -| `PARXY_LLAMAPARSE_DISABLE_OCR` | `false` | Disable the OCR on the document. | -| `PARXY_LLAMAPARSE_DISABLE_IMAGE_EXTRACTION` | `false` | If set to true, the parser will not extract images from the document. | -| `PARXY_LLAMAPARSE_HIGH_RES_OCR` | `false` | Use high resolution OCR to extract text from images. | -| `PARXY_LLAMAPARSE_EXTRACT_LAYOUT` | `false` | Extract layout information from the document. | -| `PARXY_LLAMAPARSE_SKIP_DIAGONAL_TEXT` | `false` | Skip diagonal text (when text rotation in degrees modulo 90 is not 0). | -| `PARXY_LLAMAPARSE_LANGUAGE` | `en` | Language of the text to parse. | -| `PARXY_LLAMAPARSE_DO_NOT_UNROLL_COLUMNS` | `false` | Keep columns in text according to document layout. | -| `PARXY_LLAMAPARSE_TARGET_PAGES` | - | Target pages to extract. | +| `PARXY_LLAMAPARSE_TIER` | - | Parsing tier to use. One of: `fast`, `cost_effective`, `agentic`, `agentic_plus`. | +| `PARXY_LLAMAPARSE_VERSION` | `latest` | API version string. | +| `PARXY_LLAMAPARSE_PARSE_MODE` | - | Legacy parsing mode. | +| `PARXY_LLAMAPARSE_PREMIUM_MODE` | `false` | If True, selects the 'agentic_plus' tier (legacy shorthand). | +| `PARXY_LLAMAPARSE_FAST_MODE` | `false` | If True, selects the 'fast' tier (legacy shorthand). | +| `PARXY_LLAMAPARSE_DISABLE_OCR` | `false` | Disable OCR on images embedded in the document. | +| `PARXY_LLAMAPARSE_SKIP_DIAGONAL_TEXT` | `false` | Skip text rotated at an angle (e.g. | +| `PARXY_LLAMAPARSE_LANGUAGE` | `en` | Primary language for OCR (e.g. | +| `PARXY_LLAMAPARSE_DO_NOT_UNROLL_COLUMNS` | `false` | Keep multi-column layout intact instead of linearising columns into sequential text. | +| `PARXY_LLAMAPARSE_DISABLE_IMAGE_EXTRACTION` | `false` | If True, skip image extraction. | +| `PARXY_LLAMAPARSE_CONTINUOUS_MODE` | `false` | Automatically merge tables that span multiple pages. | +| `PARXY_LLAMAPARSE_TARGET_PAGES` | - | Specific pages to extract. | | `PARXY_LLAMAPARSE_MAX_PAGES` | - | Maximum number of pages to extract. | -| `PARXY_LLAMAPARSE_CONTINUOUS_MODE` | `false` | Parse documents continuously for better results on tables spanning multiple pages. | -| `PARXY_LLAMAPARSE_AUTO_MODE` | `false` | Automatically select best mode based on page content. | -| `PARXY_LLAMAPARSE_DO_NOT_CACHE` | `true` | If set to true, the document will not be cached. | +| `PARXY_LLAMAPARSE_DO_NOT_CACHE` | `true` | If True, bypass result caching and force re-parsing. | +| `PARXY_LLAMAPARSE_VERBOSE` | `false` | Print progress indicators during parsing. | ## LLMWhisperer diff --git a/pyproject.toml b/pyproject.toml index b733048..c252369 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ dependencies = [ "opentelemetry-exporter-otlp>=1.37.0", "opentelemetry-proto>=1.37.0", "opentelemetry-sdk>=1.37.0", + ] [project.scripts] @@ -31,7 +32,7 @@ parxy_cli = [".env.example", "compose.example.yaml", "otel-collector-config.exam [project.optional-dependencies] llama = [ - "llama-cloud-services>=0.6.77", + "llama-cloud>=2.0.0", ] llmwhisperer = [ "llmwhisperer-client>=2.4.2", @@ -46,7 +47,7 @@ tui = [ "textual>=0.89.0", ] all = [ - "llama-cloud-services>=0.6.77", + "llama-cloud>=2.0.0", "llmwhisperer-client>=2.4.2", "unstructured[pdf]>=0.18.13", "landingai-ade>=0.15.1", diff --git a/src/parxy_core/drivers/llamaparse.py b/src/parxy_core/drivers/llamaparse.py index ecd4ab3..2394035 100644 --- a/src/parxy_core/drivers/llamaparse.py +++ b/src/parxy_core/drivers/llamaparse.py @@ -6,16 +6,18 @@ from parxy_core.models.config import LlamaParseConfig from parxy_core.tracing.utils import trace_with_output -# Type hints that will be available at runtime when llama_cloud_services is installed if TYPE_CHECKING: - from llama_cloud_services import LlamaParse - from llama_cloud_services.parse.types import JobResult, PageItem, Page as LlamaPage + from llama_cloud import LlamaCloud + from llama_cloud.types.parsing_get_response import ( + ParsingGetResponse, + ItemsPageStructuredResultPage, + MetadataPage, + ) else: - # Placeholder types for when package is not installed - LlamaParse = None - JobResult = object - PageItem = object - LlamaPage = object + LlamaCloud = None + ParsingGetResponse = object + ItemsPageStructuredResultPage = object + MetadataPage = object from parxy_core.drivers import Driver from parxy_core.models import ( @@ -27,117 +29,118 @@ ImageBlock, HierarchyLevel, ) -from parxy_core.utils import safe_json_dumps from parxy_core.exceptions import ( ParsingException, AuthenticationException, FileNotFoundException, ) -# Mapping from LlamaParse types to WAI-ARIA document structure roles -# See docs/explanation/document-roles.md for role definitions +# Mapping from LlamaParse v2 item types to WAI-ARIA document structure roles. +# See docs/explanation/document-roles.md for role definitions. LLAMAPARSE_TO_ROLE: dict[str, str] = { + # New API v2 item types 'text': 'paragraph', + 'heading': 'heading', 'table': 'table', + 'image': 'figure', + 'list': 'list', + 'code': 'generic', + 'link': 'generic', + 'header': 'doc-pageheader', + 'footer': 'doc-pagefooter', + # Legacy types retained for compatibility with stored source_data 'tables': 'table', 'figure': 'figure', 'figures': 'figure', - 'list': 'list', 'lists': 'list', - # Footer variants - 'footer': 'doc-pagefooter', 'page-footer': 'doc-pagefooter', 'page_footer': 'doc-pagefooter', 'page-number': 'doc-pagefooter', - # Footnote variants 'footnote': 'doc-footnote', 'note': 'doc-footnote', 'endnote': 'doc-endnotes', 'annotation': 'doc-footnote', 'footer-note': 'doc-footnote', - # Heading variants - 'heading': 'heading', 'title': 'doc-title', 'titles': 'heading', 'subtitle': 'doc-subtitle', 'section': 'heading', 'chapter': 'doc-chapter', - # Header variants 'page-header': 'doc-pageheader', 'page_header': 'doc-pageheader', 'page-heading': 'doc-pageheader', - 'header': 'doc-pageheader', } -_credits_per_parsing_mode = { - # Minimum credits per parsing mode as deduced from https://developers.llamaindex.ai/python/cloud/general/pricing/ - 'accurate': 3, # equivalent to Parse page with LLM as observed in their dashboard - 'parse_page_without_llm': 1, - 'parse_page_with_llm': 3, - 'parse_page_with_lvm': 6, - 'parse_page_with_agent': 10, - 'parse_document_with_llm': 30, - 'parse_document_with_agent': 30, +# Legacy parse_mode values (llama_cloud_services API) mapped to new tier names. +_PARSE_MODE_TO_TIER: dict[str, str] = { + 'parse_page_without_llm': 'fast', + 'parse_page_with_llm': 'cost_effective', + 'accurate': 'cost_effective', + 'parse_page_with_lvm': 'agentic', + 'parse_page_with_agent': 'agentic', + 'parse_document_with_llm': 'agentic', + 'parse_document_with_agent': 'agentic_plus', +} + +# Estimated credits per page per tier (for cost fallback estimation). +_credits_per_tier: dict[str, int] = { + 'fast': 1, + 'cost_effective': 3, + 'agentic': 6, + 'agentic_plus': 10, } # Options that can be overridden per-call via kwargs _PER_CALL_OPTIONS = frozenset( { - 'model', - 'skip_diagonal_text', - 'preset', + # New API v2 options + 'tier', + 'version', + # Legacy options mapped to new API 'parse_mode', + 'premium_mode', + 'fast_mode', 'language', 'target_pages', 'max_pages', - 'continuous_mode', - 'disable_ocr', - 'disable_image_extraction', - 'fast_mode', - 'premium_mode', - 'high_res_ocr', - 'extract_layout', - 'auto_mode', + 'skip_diagonal_text', 'do_not_unroll_columns', + 'disable_image_extraction', + 'disable_ocr', + 'continuous_mode', + 'do_not_cache', } ) class LlamaParseDriver(Driver): - """Llama Cloud Services document processing via LlamaParse API. - - This parser interacts with the LlamaParse cloud service to extract document text, - supporting page- and block-level extraction. + """LlamaCloud document processing via LlamaParse API v2. Attributes ---------- supported_levels : list of str The supported extraction levels: `page`, `block`. - client : LlamaParse - The LlamaParse client instance. + client : LlamaCloud + The LlamaCloud client instance (created fresh per call). """ _config: LlamaParseConfig - # supported_levels: list[str] = ["page", "block"] - def _initialize_driver(self): - """Initialize the Llama Parse driver. + """Initialize the LlamaParse driver. - Validates that dependencies are installed. - A fresh client is created per ``_handle`` call to avoid sharing asyncio - event-loop state across threads (LlamaParse uses ``asyncio.run`` - internally, so a single client instance cannot be used concurrently). + Validates that the llama-cloud package is installed. A fresh client is + created per ``_handle`` call to avoid sharing state across threads. Raises ------ ImportError - If LlamaParse dependencies are not installed + If llama-cloud dependencies are not installed """ try: - from llama_cloud_services import LlamaParse + from llama_cloud import LlamaCloud - self._LlamaParse = LlamaParse # Store class reference for per-call clients + self._LlamaCloud = LlamaCloud except ImportError as e: raise ImportError( 'LlamaParse dependencies not installed. ' @@ -145,33 +148,87 @@ def _initialize_driver(self): ) from e def _create_client( - self, config_dict: dict, api_key: Optional['SecretStr'] = None - ) -> 'LlamaParse': - """Create a LlamaParse client with the given configuration. - - Parameters - ---------- - config_dict : dict - Configuration dictionary to pass to LlamaParse constructor. - api_key : SecretStr, optional - The API key (passed separately since it's excluded from model_dump). - - Returns - ------- - LlamaParse - Configured client instance - """ - # Make a copy to avoid modifying the original - config = config_dict.copy() - - # Handle api_key (may be SecretStr, needs to be converted) - if api_key is not None: - if hasattr(api_key, 'get_secret_value'): - api_key = api_key.get_secret_value() - # Only pass api_key if it has a value, otherwise let LlamaParse use default - config['api_key'] = api_key - - return self._LlamaParse(**config) + self, + api_key: Optional[str] = None, + base_url: Optional[str] = None, + ) -> 'LlamaCloud': + """Create a LlamaCloud client.""" + kwargs: dict = {} + if api_key: + kwargs['api_key'] = api_key + if base_url: + kwargs['base_url'] = base_url + return self._LlamaCloud(**kwargs) + + def _resolve_tier(self, overrides: dict) -> str: + """Resolve the parsing tier, honouring legacy config options.""" + if overrides.get('tier'): + return overrides['tier'] + if overrides.get('premium_mode') or ( + self._config and self._config.premium_mode + ): + return 'agentic_plus' + if overrides.get('fast_mode') or (self._config and self._config.fast_mode): + return 'fast' + parse_mode = overrides.get('parse_mode') or ( + self._config.parse_mode if self._config else None + ) + if parse_mode: + return _PARSE_MODE_TO_TIER.get(parse_mode, 'cost_effective') + if self._config and self._config.tier: + return self._config.tier + return 'cost_effective' + + def _get_opt(self, overrides: dict, key: str, default=None): + """Return the value for ``key`` from overrides, config, or default.""" + if key in overrides: + return overrides[key] + if self._config and hasattr(self._config, key): + val = getattr(self._config, key) + if val is not None: + return val + return default + + def _build_processing_options(self, overrides: dict) -> dict: + opts: dict = {} + ignore_opts: dict = {} + + if self._get_opt(overrides, 'skip_diagonal_text', False): + ignore_opts['ignore_diagonal_text'] = True + if self._get_opt(overrides, 'disable_ocr', False): + ignore_opts['ignore_text_in_image'] = True + if ignore_opts: + opts['ignore'] = ignore_opts + + language = self._get_opt(overrides, 'language', None) + if language: + opts['ocr_parameters'] = {'languages': [language]} + + return opts + + def _build_output_options(self, overrides: dict) -> dict: + opts: dict = {} + + if self._get_opt(overrides, 'do_not_unroll_columns', False): + opts['spatial_text'] = {'do_not_unroll_columns': True} + + if self._get_opt(overrides, 'continuous_mode', False): + opts['markdown'] = {'tables': {'merge_continued_tables': True}} + + if self._get_opt(overrides, 'disable_image_extraction', False): + opts['images_to_save'] = [] + + return opts + + def _build_page_ranges(self, overrides: dict) -> dict: + opts: dict = {} + target_pages = self._get_opt(overrides, 'target_pages', None) + if target_pages: + opts['target_pages'] = target_pages + max_pages = self._get_opt(overrides, 'max_pages', None) + if max_pages: + opts['max_pages'] = max_pages + return opts def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: """Fetch actual usage metrics from the LlamaParse beta API. @@ -184,31 +241,25 @@ def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: Returns ------- Optional[dict] - Dictionary with 'total_cost', 'cost_unit', 'parsing_mode_counts', and 'mode_details' - Returns None if organization_id is not configured or if the API call fails + Dictionary with cost and mode data, or None if unavailable. """ - # Only fetch if organization_id is configured if not self._config or not self._config.organization_id: return None try: - # Construct the beta API endpoint base_url = self._config.base_url.rstrip('/') endpoint = f'{base_url}/api/v1/beta/usage-metrics' - # Prepare request parameters params = { 'organization_id': self._config.organization_id, 'event_aggregation_key': job_id, } - # Prepare headers with authentication headers = { 'Authorization': f'Bearer {self._config.api_key.get_secret_value()}', 'Content-Type': 'application/json', } - # Make the API request response = requests.get( endpoint, params=params, headers=headers, timeout=10 ) @@ -220,8 +271,7 @@ def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: if not items: return None - # Aggregate usage data by parsing mode - parsing_mode_counts = {} + parsing_mode_counts: dict = {} mode_details = [] for item in items: @@ -230,10 +280,7 @@ def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: pages = item.get('value', 0) model = item.get('properties', {}).get('model', 'unknown') - # Count pages per mode parsing_mode_counts[mode] = parsing_mode_counts.get(mode, 0) + pages - - # Store detailed info mode_details.append( { 'mode': mode, @@ -243,11 +290,10 @@ def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: } ) - # Calculate total cost based on actual usage - total_cost = 0 - for mode, count in parsing_mode_counts.items(): - credits_per_page = _credits_per_parsing_mode.get(mode, 3) - total_cost += credits_per_page * count + total_cost = sum( + _credits_per_tier.get(mode, 3) * count + for mode, count in parsing_mode_counts.items() + ) return { 'total_cost': total_cost, @@ -257,7 +303,6 @@ def _fetch_usage_metrics(self, job_id: str) -> Optional[dict]: } except Exception as e: - # Log the error but don't fail the parsing self._logger.warning( f'Failed to fetch usage metrics from beta API: {str(e)}' ) @@ -269,7 +314,7 @@ def _handle( level: str = 'block', **kwargs, ) -> Document: - """Parse a document using LlamaParse. + """Parse a document using LlamaParse API v2. Parameters ------- @@ -280,22 +325,20 @@ def _handle( **kwargs Per-call configuration overrides. Supported options: - - model: Document model name for parse_with_agent - - skip_diagonal_text: Skip diagonal text (useful for CAD) - - preset: Parser preset (overrides most options) - - parse_mode: Parsing mode ('accurate', 'parse_page_with_llm', etc.) - - language: Text language - - target_pages: Specific pages to parse (e.g., '0,2,5-10') + - tier: Parsing tier ('fast', 'cost_effective', 'agentic', 'agentic_plus') + - version: API version string (default 'latest') + - parse_mode: Legacy mode name (mapped to tier for backward compatibility) + - premium_mode: If True, uses 'agentic_plus' tier + - fast_mode: If True, uses 'fast' tier + - language: OCR language code (e.g. 'en') + - target_pages: Comma-separated 1-based page numbers or ranges (e.g. '1,3,5-8') - max_pages: Maximum pages to extract - - continuous_mode: Better table handling across pages - - disable_ocr: Disable OCR - - disable_image_extraction: Don't extract images - - fast_mode: Speed over accuracy - - premium_mode: Best parser mode - - high_res_ocr: High resolution OCR - - extract_layout: Extract layout information - - auto_mode: Automatic mode selection - - do_not_unroll_columns: Keep columns in layout + - skip_diagonal_text: Skip text rotated at an angle + - do_not_unroll_columns: Keep multi-column layout intact + - disable_image_extraction: Skip image extraction + - disable_ocr: Disable OCR on images + - continuous_mode: Merge tables that span multiple pages + - do_not_cache: Bypass result caching Returns ------- @@ -305,7 +348,7 @@ def _handle( Raises ------ ImportError - If LlamaParse dependencies are not installed + If llama-cloud dependencies are not installed AuthenticationException If authentication with LlamaParse fails FileNotFoundException @@ -313,82 +356,105 @@ def _handle( ParsingException If any other parsing error occurs """ - # Extract per-call overrides from kwargs overrides = {k: v for k, v in kwargs.items() if k in _PER_CALL_OPTIONS} - remaining_kwargs = { - k: v for k, v in kwargs.items() if k not in _PER_CALL_OPTIONS - } - - # Always create a fresh client per call. LlamaParse uses - # ``asyncio.run`` internally which binds objects to a thread-local - # event loop, so sharing a single client across threads causes - # "bound to a different event loop" errors. - merged_config = self._config.model_dump() if self._config else {} - if overrides: - merged_config.update(overrides) - client = self._create_client( - merged_config, - api_key=self._config.api_key if self._config else None, + + api_key = ( + self._config.api_key.get_secret_value() + if (self._config and self._config.api_key) + else None + ) + base_url = self._config.base_url if self._config else None + client = self._create_client(api_key=api_key, base_url=base_url) + + tier = self._resolve_tier(overrides) + version = ( + overrides.get('version') + or (self._config.version if self._config else None) + or 'latest' ) + expand = ['text', 'metadata', 'job_metadata'] + if HierarchyLevel[level.upper()] >= HierarchyLevel.BLOCK: + expand.append('items') + if not self._get_opt(overrides, 'disable_image_extraction', False): + expand.append('images_content_metadata') + + processing_options = self._build_processing_options(overrides) + output_options = self._build_output_options(overrides) + page_ranges = self._build_page_ranges(overrides) + disable_cache = self._get_opt(overrides, 'do_not_cache', True) + + try: + from llama_cloud._polling import PollingError, PollingTimeoutError + from llama_cloud._exceptions import ( + AuthenticationError, + PermissionDeniedError, + ) + except ImportError: + PollingError = Exception # type: ignore[assignment,misc] + PollingTimeoutError = Exception # type: ignore[assignment,misc] + AuthenticationError = Exception # type: ignore[assignment,misc] + PermissionDeniedError = Exception # type: ignore[assignment,misc] + try: filename, stream = self.handle_file_input(file) - extra_info = {'file_name': filename if len(filename) > 0 else 'default'} + upload_filename = filename if filename else 'document.pdf' + with self._trace_parse(filename, stream, **kwargs) as span: - res = client.parse(stream, extra_info=extra_info) - span.set_attribute('output.document', safe_json_dumps(res.model_dump())) + parse_kwargs: dict = { + 'upload_file': (upload_filename, stream), + 'tier': tier, + 'version': version, + 'expand': expand, + 'disable_cache': disable_cache, + 'verbose': self._config.verbose if self._config else False, + } + if self._config and self._config.organization_id: + parse_kwargs['organization_id'] = self._config.organization_id + if self._config and self._config.project_id: + parse_kwargs['project_id'] = self._config.project_id + if processing_options: + parse_kwargs['processing_options'] = processing_options + if output_options: + parse_kwargs['output_options'] = output_options + if page_ranges: + parse_kwargs['page_ranges'] = page_ranges + + res = client.parsing.parse(**parse_kwargs) + span.set_attribute('output.document', res.model_dump_json()) + except FileNotFoundError as fex: raise FileNotFoundException(fex, self.__class__) from fex + except (AuthenticationError, PermissionDeniedError) as ex: + raise AuthenticationException( + message=str(ex), + service=self.__class__, + details={ + 'status_code': getattr(ex, 'status_code', None), + 'error_response': getattr(ex, 'body', None), + }, + ) from ex + except (PollingError, PollingTimeoutError) as ex: + raise ParsingException(str(ex), self.__class__) from ex except Exception as ex: - # Handle HTTP status errors specifically for authentication failures - if hasattr(ex, '__cause__') and ex.__cause__ is not None: - cause = ex.__cause__ - if hasattr(cause, 'response') and cause.response is not None: - status_code = cause.response.status_code - error_detail = ( - cause.response.json() if hasattr(cause.response, 'json') else {} - ) - - if status_code in (401, 403): - raise AuthenticationException( - message=str( - error_detail.get('detail', 'Authentication failed') - ), - service=self.__class__, - details={ - 'status_code': status_code, - 'error_response': error_detail, - }, - ) from ex - - # For all other errors, raise as parsing exception raise ParsingException(str(ex), self.__class__) from ex - if res.error is not None: - raise ParsingException( - res.error, self.__class__, res.model_dump(exclude={'file_name'}) - ) - - converted_document = llamaparse_to_parxy(doc=res, level=level) + converted_document = llamaparse_to_parxy( + doc=res, filename=filename, level=level + ) if converted_document.parsing_metadata is None: converted_document.parsing_metadata = {} - converted_document.parsing_metadata['job_id'] = res.job_id - converted_document.parsing_metadata['job_metadata'] = ( - res.job_metadata.model_dump_json() - ) - converted_document.parsing_metadata['job_error'] = getattr(res, 'error', None) - converted_document.parsing_metadata['job_error_code'] = getattr( - res, 'error_code', None - ) - converted_document.parsing_metadata['job_status'] = getattr(res, 'status', None) + converted_document.parsing_metadata['job_id'] = res.job.id + converted_document.parsing_metadata['job_metadata'] = res.job_metadata + converted_document.parsing_metadata['job_status'] = res.job.status + converted_document.parsing_metadata['job_error'] = res.job.error_message + converted_document.parsing_metadata['tier'] = tier - # Try to fetch actual usage metrics from beta API if organization_id is configured - usage_metrics = self._fetch_usage_metrics(res.job_id) + usage_metrics = self._fetch_usage_metrics(res.job.id) if usage_metrics: - # Use actual metrics from the API converted_document.parsing_metadata['cost_estimation'] = usage_metrics[ 'total_cost' ] @@ -403,242 +469,202 @@ def _handle( 'mode_details' ] else: - # Fall back to estimation from page source_data - parsing_modes = {} - parsing_mode_counts = {} - - for page in converted_document.pages: - if page.source_data and 'parsingMode' in page.source_data: - mode = page.source_data['parsingMode'] - parsing_modes[page.number] = mode - - # Count pages per parsing mode - if mode in parsing_mode_counts: - parsing_mode_counts[mode] += 1 - else: - parsing_mode_counts[mode] = 1 - - if parsing_modes: - converted_document.parsing_metadata['page_parsing_modes'] = ( - parsing_modes - ) - converted_document.parsing_metadata['parsing_mode_counts'] = ( - parsing_mode_counts - ) - - # Calculate cost estimation based on parsing modes - total_cost = 0 - for mode, count in parsing_mode_counts.items(): - # Use the credit cost from the dictionary, or default to 3 if not recognized - credits_per_page = _credits_per_parsing_mode.get(mode, 3) - total_cost += credits_per_page * count - - converted_document.parsing_metadata['cost_estimation'] = total_cost - converted_document.parsing_metadata['cost_estimation_unit'] = 'credits' - converted_document.parsing_metadata['cost_data_source'] = 'estimation' + page_count = len(converted_document.pages) + credits_per_page = _credits_per_tier.get(tier, 3) + converted_document.parsing_metadata['cost_estimation'] = ( + credits_per_page * page_count + ) + converted_document.parsing_metadata['cost_estimation_unit'] = 'credits' + converted_document.parsing_metadata['cost_data_source'] = 'estimation' return converted_document @trace_with_output('converting') def llamaparse_to_parxy( - doc: JobResult, + doc: 'ParsingGetResponse', + filename: str, level: str, ) -> Document: - """Convert a LlamaParse `JobResult` to a `Document` object. + """Convert a LlamaParse ``ParsingGetResponse`` to a ``Document`` object. Parameters - ---- - doc : JobResult - The LlamaParse result object. + ---------- + doc : ParsingGetResponse + The LlamaParse v2 result object. + filename : str + Original filename (not included in the response). level : str Desired extraction level. Returns ------- Document - The converted `Document` in unified format. + The converted ``Document`` in unified format. """ - pages = [_convert_page(page, level.upper()) for page in doc.pages] + metadata_by_page: dict = {} + if doc.metadata: + for meta_page in doc.metadata.pages: + metadata_by_page[meta_page.page_number] = meta_page + + text_by_page: dict = {} + if doc.text: + for text_page in doc.text.pages: + text_by_page[text_page.page_number] = text_page.text + + pages = [] + level_upper = level.upper() + + if doc.items: + for items_page in doc.items.pages: + page_text = text_by_page.get(items_page.page_number, '') + meta_page = metadata_by_page.get(items_page.page_number) + if getattr(items_page, 'success', True): + page = _convert_page(items_page, page_text, meta_page, level_upper) + else: + page = Page( + number=items_page.page_number, + text=page_text, + blocks=[], + source_data={'error': getattr(items_page, 'error', None)}, + ) + pages.append(page) + elif doc.text: + for text_page in doc.text.pages: + meta_page = metadata_by_page.get(text_page.page_number) + source = meta_page.model_dump() if meta_page else {} + pages.append( + Page( + number=text_page.page_number, + text=text_page.text, + blocks=None, + source_data=source, + ) + ) + + source_data: dict = {} + if doc.job_metadata: + source_data['job_metadata'] = doc.job_metadata + return Document( - filename=doc.file_name, + filename=filename, pages=pages, - source_data=doc.model_dump(exclude={'file_name', 'pages'}), + source_data=source_data, ) -def _convert_text_block(text_block: PageItem, page_number: int) -> TextBlock: - """Convert a LlamaParse `PageItem` to a `TextBlock`. +def _extract_bbox(bbox_list) -> Optional[BoundingBox]: + """Extract the first bounding box from a list of BBox objects.""" + if not bbox_list: + return None + b = bbox_list[0] + return BoundingBox( + x0=b.x, + y0=b.y, + x1=b.x + b.w, + y1=b.y + b.h, + ) - Parameters - ---- - text_block : PageItem - The LlamaParse page item. - page_number : int - The page number (0-based). - Returns - ------- - TextBlock - The converted `TextBlock` object. - """ - ## Note: Bounding Box (bBox) can be None, it is still to be evaluated if that is a sign of hallucination or not - bbox = ( - BoundingBox( - x0=text_block.bBox.x, - y0=text_block.bBox.y, - x1=text_block.bBox.x + text_block.bBox.w, - y1=text_block.bBox.y + text_block.bBox.h, - ) - if text_block.bBox is not None - else None - ) - # Handle empty page marker - text_value = text_block.value if text_block.value else '' +def _convert_text_block(item, page_number: int) -> TextBlock: + """Convert a LlamaParse v2 item to a ``TextBlock``.""" + bbox = _extract_bbox(getattr(item, 'bbox', None)) + # Most items use 'value'; header/footer/list containers use 'md' + text_value = getattr(item, 'value', None) or getattr(item, 'md', '') or '' if text_value == 'NO_CONTENT_HERE': text_value = '' - category = text_block.type - role = LLAMAPARSE_TO_ROLE.get(category, 'generic') if category else 'generic' + item_type = getattr(item, 'type', None) + role = LLAMAPARSE_TO_ROLE.get(item_type, 'generic') if item_type else 'generic' + heading_level = getattr(item, 'level', None) + + source_data: dict = {} + if hasattr(item, 'model_dump'): + source_data = item.model_dump(exclude={'bbox', 'value', 'type', 'level'}) + return TextBlock( type='text', role=role, - category=category, - level=text_block.lvl, + category=item_type, + level=heading_level, text=text_value, bbox=bbox, page=page_number, - source_data=text_block.model_dump(exclude={'bBox', 'value', 'type', 'lvl'}), + source_data=source_data, ) -def _convert_table_block(text_block: PageItem, page_number: int) -> TableBlock: - """Convert a LlamaParse `PageItem` with table type to a `TableBlock`. +def _convert_table_block(item, page_number: int) -> TableBlock: + """Convert a LlamaParse v2 TableItem to a ``TableBlock``.""" + bbox = _extract_bbox(getattr(item, 'bbox', None)) + text_value = getattr(item, 'md', '') or '' + item_type = getattr(item, 'type', 'table') + role = LLAMAPARSE_TO_ROLE.get(item_type, 'table') - Parameters - ---- - text_block : PageItem - The LlamaParse page item containing table data. - page_number : int - The page number (0-based). + source_data: dict = {} + if hasattr(item, 'model_dump'): + source_data = item.model_dump(exclude={'bbox', 'type'}) - Returns - ------- - TableBlock - The converted `TableBlock` object with markdown table content. - """ - bbox = BoundingBox( - x0=text_block.bBox.x, - y0=text_block.bBox.y, - x1=text_block.bBox.x + text_block.bBox.w, - y1=text_block.bBox.y + text_block.bBox.h, - ) - # Use markdown representation as the text content for tables - text_value = getattr(text_block, 'md', '') or '' - category = text_block.type - role = LLAMAPARSE_TO_ROLE.get(category, 'table') if category else 'table' return TableBlock( type='table', role=role, - category=category, + category=item_type, text=text_value, bbox=bbox, page=page_number, - source_data=text_block.model_dump(exclude={'bBox', 'value', 'type', 'lvl'}), + source_data=source_data, ) -def _convert_image_block(image_data, page_number: int) -> ImageBlock: - """Convert a LlamaParse image entry to an `ImageBlock`. - - Parameters - ---- - image_data - Image data from the LlamaParse page (model object or dict). - page_number : int - The page number (0-based). - - Returns - ------- - ImageBlock - The converted `ImageBlock` object. - """ - # Normalise to dict so we can handle both Pydantic models and plain dicts - if isinstance(image_data, dict): - img = image_data - elif hasattr(image_data, 'model_dump'): - img = image_data.model_dump() - else: - img = vars(image_data) - - bbox = BoundingBox( - x0=img.get('x', 0), - y0=img.get('y', 0), - x1=img.get('x', 0) + img.get('width', 0), - y1=img.get('y', 0) + img.get('height', 0), - ) +def _convert_image_block(item, page_number: int) -> ImageBlock: + """Convert a LlamaParse v2 ImageItem to an ``ImageBlock``.""" + bbox = _extract_bbox(getattr(item, 'bbox', None)) + alt_text = getattr(item, 'caption', None) or None + url = getattr(item, 'url', None) - # Build alt_text from OCR entries when available - ocr_entries = img.get('ocr') or [] - alt_text = ( - ' '.join( - entry.get('text', '') - if isinstance(entry, dict) - else getattr(entry, 'text', '') - for entry in ocr_entries - ).strip() - or None - ) + source_data: dict = {} + if hasattr(item, 'model_dump'): + source_data = item.model_dump(exclude={'bbox', 'type'}) return ImageBlock( type='image', role='figure', category='figure', - name=img.get('name'), + name=url, alt_text=alt_text, bbox=bbox, page=page_number, - source_data=img, + source_data=source_data, ) def _convert_page( - page: LlamaPage, + items_page: 'ItemsPageStructuredResultPage', + page_text: str, + meta_page: Optional['MetadataPage'], level: str, ) -> Page: - """Convert a LlamaParse `Page` to a `Page` object. - - Parameters - ---- - page : LlamaPage - The LlamaParse page object. - level : str - Desired extraction level. - - Returns - ------- - Page - The converted `Page` object. - """ + """Convert a LlamaParse v2 structured page to a ``Page`` object.""" blocks = None if HierarchyLevel[level] >= HierarchyLevel.BLOCK: blocks = [] - for item in page.items: - if item.type in ('table', 'tables'): - blocks.append(_convert_table_block(item, page.page)) + for item in items_page.items: + item_type = getattr(item, 'type', None) + if item_type == 'table': + blocks.append(_convert_table_block(item, items_page.page_number)) + elif item_type == 'image': + blocks.append(_convert_image_block(item, items_page.page_number)) else: - blocks.append(_convert_text_block(item, page.page)) + blocks.append(_convert_text_block(item, items_page.page_number)) + + source_data: dict = {} + if meta_page: + source_data['metadata'] = meta_page.model_dump() - # Process page-level images into ImageBlocks - images = getattr(page, 'images', None) or [] - for image_data in images: - blocks.append(_convert_image_block(image_data, page.page)) return Page( - number=page.page, - width=page.width, - height=page.height, - text=page.text if page.text != 'NO_CONTENT_HERE' else '', + number=items_page.page_number, + width=items_page.page_width, + height=items_page.page_height, + text=page_text, blocks=blocks, - source_data=page.model_dump( - exclude={'page', 'text', 'items', 'width', 'height'} - ), + source_data=source_data, ) diff --git a/src/parxy_core/models/config.py b/src/parxy_core/models/config.py index 1e4bbbb..905ebe3 100644 --- a/src/parxy_core/models/config.py +++ b/src/parxy_core/models/config.py @@ -123,10 +123,10 @@ class LlamaParseConfig(BaseConfig): # Connection settings base_url: str = 'https://api.cloud.eu.llamaindex.ai' - """The base URL of the Llama Parsing API.""" + """The base URL of the LlamaParse API. Override to use a different region or self-hosted instance.""" api_key: SecretStr = Field(exclude=True, default=None) - """The authentication key""" + """The authentication key.""" organization_id: Optional[str] = None """The organization ID for the LlamaParse API.""" @@ -134,72 +134,61 @@ class LlamaParseConfig(BaseConfig): project_id: Optional[str] = None """The project ID for the LlamaParse API.""" - # Client behavior - num_workers: Optional[int] = 4 - """The number of workers to use sending API requests for parsing.""" - - show_progress: Optional[bool] = False - """Show progress when parsing multiple files.""" - - verbose: Optional[bool] = False - """Whether to print the progress of the parsing.""" - - # Parsing mode configuration - parse_mode: Optional[str] = 'parse_page_with_llm' - """Parsing mode to use. Options: 'accurate', 'parse_page_without_llm', 'parse_page_with_llm', 'parse_page_with_lvm', 'parse_page_with_agent', 'parse_document_with_llm', 'parse_document_with_agent'.""" + # Parsing tier (LlamaParse API v2) + tier: Optional[Literal['fast', 'cost_effective', 'agentic', 'agentic_plus']] = None + """Parsing tier to use. Options: 'fast' (rule-based, cheapest), 'cost_effective' (balanced), + 'agentic' (AI-powered), 'agentic_plus' (premium AI). Defaults to 'cost_effective' when not set.""" - preset: Optional[str] = None - """Parser preset. If set, overrides most other parameters. See LlamaParse documentation for available presets.""" + version: Optional[str] = 'latest' + """API version string. Use 'latest' for the current stable version or a date string for reproducibility.""" - model: Optional[str] = None - """Document model name for parse_with_agent mode.""" + # Legacy parsing mode (LlamaParse API v1, mapped to tier for backward compatibility) + parse_mode: Optional[str] = None + """Legacy parsing mode. Mapped to the equivalent tier automatically. + Options: 'parse_page_without_llm' → fast, 'parse_page_with_llm' / 'accurate' → cost_effective, + 'parse_page_with_lvm' / 'parse_page_with_agent' / 'parse_document_with_llm' → agentic, + 'parse_document_with_agent' → agentic_plus.""" premium_mode: Optional[bool] = False - """Use best parser mode if set to True.""" + """If True, selects the 'agentic_plus' tier (legacy shorthand).""" fast_mode: Optional[bool] = False - """Use faster mode that skips OCR of images and table/heading reconstruction. Not compatible with gpt-4o.""" + """If True, selects the 'fast' tier (legacy shorthand).""" - # OCR and extraction settings + # OCR and text extraction disable_ocr: Optional[bool] = False - """Disable the OCR on the document. LlamaParse will only extract the copyable text from the document.""" - - disable_image_extraction: Optional[bool] = False - """If set to true, the parser will not extract images from the document. Makes the parser faster.""" - - high_res_ocr: Optional[bool] = False - """Use high resolution OCR to extract text from images. Increases accuracy but reduces speed.""" - - extract_layout: Optional[bool] = False - """Extract layout information from the document. Costs 1 credit per page.""" + """Disable OCR on images embedded in the document.""" - # Text handling skip_diagonal_text: Optional[bool] = False - """Skip diagonal text (when text rotation in degrees modulo 90 is not 0). Useful for CAD drawings.""" + """Skip text rotated at an angle (e.g. watermarks, CAD annotations).""" language: Optional[str] = 'en' - """Language of the text to parse.""" + """Primary language for OCR (e.g. 'en', 'de', 'fr').""" + # Output options do_not_unroll_columns: Optional[bool] = False - """Keep columns in text according to document layout. May reduce reconstruction accuracy.""" + """Keep multi-column layout intact instead of linearising columns into sequential text.""" + + disable_image_extraction: Optional[bool] = False + """If True, skip image extraction. Makes parsing faster.""" + + continuous_mode: Optional[bool] = False + """Automatically merge tables that span multiple pages.""" # Page selection target_pages: Optional[str] = None - """Target pages to extract. Comma-separated list of page numbers (0-indexed). E.g., '0,2,5-10'.""" + """Specific pages to extract. Comma-separated 1-based page numbers or ranges (e.g. '1,3,5-8').""" max_pages: Optional[int] = None - """Maximum number of pages to extract. If not set, all pages are extracted.""" - - # Advanced features - continuous_mode: Optional[bool] = False - """Parse documents continuously for better results on tables spanning multiple pages.""" - - auto_mode: Optional[bool] = False - """Automatically select best mode based on page content. Upgrades matching pages to Premium mode.""" + """Maximum number of pages to extract. Extracts all pages when not set.""" # Caching do_not_cache: Optional[bool] = True - """If set to true, the document will not be cached. You will be re-charged if you reprocess them.""" + """If True, bypass result caching and force re-parsing.""" + + # Client behavior + verbose: Optional[bool] = False + """Print progress indicators during parsing.""" model_config = SettingsConfigDict( env_prefix='parxy_llamaparse_', env_file='.env', extra='ignore' diff --git a/tests/drivers/test_llamaparse.py b/tests/drivers/test_llamaparse.py index ecf2df9..bcc949b 100644 --- a/tests/drivers/test_llamaparse.py +++ b/tests/drivers/test_llamaparse.py @@ -1,206 +1,209 @@ -import os -import pytest -from unittest.mock import Mock, patch, MagicMock - -from parxy_core.exceptions import ( - AuthenticationException, - FileNotFoundException, -) -from parxy_core.models import TextBlock, Page - -from parxy_core.drivers import LlamaParseDriver -from parxy_core.models import LlamaParseConfig - - -@pytest.mark.skipif( - os.getenv('GITHUB_ACTIONS') == 'true', - reason='External service required, skipping tests in GitHub Actions.', -) -class TestLlamaParseDriver: - def __fixture_path(self, file: str) -> str: - current_dir = os.path.dirname(os.path.abspath(__file__)) - fixtures_dir = os.path.join(os.path.dirname(current_dir), 'fixtures') - return os.path.join(fixtures_dir, file) - - def test_llamaparse_driver_can_be_created(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - assert driver.supported_levels == ['page', 'block'] - - def test_llamaparse_driver_handle_invalid_key(self): - driver = LlamaParseDriver(LlamaParseConfig(api_key='invalid')) - - path = self.__fixture_path('empty-doc.pdf') - - with pytest.raises(AuthenticationException) as excinfo: - driver.parse(path) - - def test_llamaparse_driver_handle_not_existing_file(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('non-existing-file.pdf') - - with pytest.raises(FileNotFoundException) as excinfo: - driver.parse(path) - - def test_llamaparse_driver_unrecognized_level_handled(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('empty-doc.pdf') - - with pytest.raises(ValueError) as excinfo: - driver.parse(path, level='custom') - - assert 'not supported' in str(excinfo.value) - assert '[custom]' in str(excinfo.value) - - def test_llamaparse_driver_read_empty_document_block_level(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('empty-doc.pdf') - document = driver.parse(path) - - assert document is not None - assert document.language is None - assert document.outline is None - assert document.metadata is None - assert len(document.pages) == 1 - assert isinstance(document.pages[0], Page) - assert document.pages[0].text == '1' - assert len(document.pages[0].blocks) == 1 - assert isinstance(document.pages[0].blocks[0], TextBlock) - - def test_llamaparse_driver_read_empty_document_page_level(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('empty-doc.pdf') - document = driver.parse(path, level='page') - - assert document is not None - assert document.language is None - assert document.outline is None - assert document.metadata is None - assert len(document.pages) == 1 - assert isinstance(document.pages[0], Page) - assert document.pages[0].text == '1' - - def test_llamaparse_driver_read_document(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('test-doc.pdf') - document = driver.parse(path, level='page') - - assert document is not None - assert document.language is None - assert document.outline is None - assert document.metadata is None - assert len(document.pages) == 1 - assert isinstance(document.pages[0], Page) - assert document.pages[0].number == 1 - assert ( - document.pages[0].text - == 'This is the header\n\nThis is a test PDF to be used as input in unit\ntests\n\nThis is a heading 1\nThis is a paragraph below heading 1\n\n1' - ) - - @patch('parxy_core.drivers.abstract_driver.tracer') - def test_llamaparse_driver_tracing_span_created(self, mock_tracer): - # Setup mocks for the span context manager - mock_span = MagicMock() - mock_span.__enter__ = Mock(return_value=mock_span) - mock_span.__exit__ = Mock(return_value=False) - mock_tracer.span = Mock(return_value=mock_span) - mock_tracer.count = Mock() - mock_tracer.info = Mock() - - driver = LlamaParseDriver(LlamaParseConfig()) - path = self.__fixture_path('empty-doc.pdf') - document = driver.parse(path, level='block') - - # Verify tracer.span was called to create span - mock_tracer.span.assert_called() - - # Find the 'document-processing' span call (from abstract_driver.parse) - span_calls = mock_tracer.span.call_args_list - doc_processing_call = [ - c for c in span_calls if c[0][0] == 'document-processing' - ][0] - - # Verify span attributes - assert doc_processing_call[1]['driver'] == 'LlamaParseDriver' - assert doc_processing_call[1]['level'] == 'block' - - # Verify counter was incremented via tracer.count - mock_tracer.count.assert_called_once() - count_call = mock_tracer.count.call_args - assert count_call[0][0] == 'documents.processed' - assert count_call[1]['driver'] == 'LlamaParseDriver' - - @patch('parxy_core.drivers.abstract_driver.tracer') - def test_llamaparse_driver_tracing_exception_recorded(self, mock_tracer): - # Setup mocks - mock_span = MagicMock() - mock_span.__enter__ = Mock(return_value=mock_span) - mock_span.__exit__ = Mock(return_value=False) - mock_tracer.span = Mock(return_value=mock_span) - mock_tracer.count = Mock() - mock_tracer.error = Mock() - - driver = LlamaParseDriver(LlamaParseConfig()) - path = self.__fixture_path('non-existing-file.pdf') - - # Attempt to parse non-existing file - with pytest.raises(FileNotFoundException): - driver.parse(path) - - # Verify error was logged via tracer.error - mock_tracer.error.assert_called_once() - error_call = mock_tracer.error.call_args - assert error_call[0][0] == 'Parsing failed' - - # Verify documents.failures counter was incremented - mock_tracer.count.assert_called_once() - count_call = mock_tracer.count.call_args - assert count_call[0][0] == 'documents.failures' - assert count_call[1]['driver'] == 'LlamaParseDriver' - - def test_llamaparse_driver_extracts_parsing_modes(self): - driver = LlamaParseDriver(LlamaParseConfig()) - - path = self.__fixture_path('test-doc.pdf') - document = driver.parse(path, level='block') - - # Verify parsing_metadata exists and contains parsing modes - assert document.parsing_metadata is not None - - # Check if page_parsing_modes is in parsing_metadata (it may not be if LlamaParse doesn't provide it) - # This is conditional because the actual LlamaParse response may or may not include parsingMode - if 'page_parsing_modes' in document.parsing_metadata: - parsing_modes = document.parsing_metadata['page_parsing_modes'] - assert isinstance(parsing_modes, dict) - # Verify it's a mapping of page numbers to parsing modes - for page_num, mode in parsing_modes.items(): - assert isinstance(page_num, int) - assert isinstance(mode, str) - - # Verify parsing_mode_counts exists - assert 'parsing_mode_counts' in document.parsing_metadata - parsing_mode_counts = document.parsing_metadata['parsing_mode_counts'] - assert isinstance(parsing_mode_counts, dict) - - # Verify counts are correct - for mode, count in parsing_mode_counts.items(): - assert isinstance(mode, str) - assert isinstance(count, int) - assert count > 0 - - # Verify total count matches number of pages with parsing modes - assert sum(parsing_mode_counts.values()) == len(parsing_modes) - - # Verify cost_estimation exists - assert 'cost_estimation' in document.parsing_metadata - cost_estimation = document.parsing_metadata['cost_estimation'] - assert isinstance(cost_estimation, int) - assert cost_estimation > 0 - - # Verify cost estimation is reasonable (at least 1 credit per page minimum) - assert cost_estimation >= len(parsing_modes) +import os +import pytest +from unittest.mock import Mock, patch, MagicMock + +from parxy_core.exceptions import ( + AuthenticationException, + FileNotFoundException, +) +from parxy_core.models import TextBlock, Page + +from parxy_core.drivers import LlamaParseDriver +from parxy_core.models import LlamaParseConfig + + +@pytest.mark.skipif( + os.getenv('GITHUB_ACTIONS') == 'true', + reason='External service required, skipping tests in GitHub Actions.', +) +class TestLlamaParseDriver: + def __fixture_path(self, file: str) -> str: + current_dir = os.path.dirname(os.path.abspath(__file__)) + fixtures_dir = os.path.join(os.path.dirname(current_dir), 'fixtures') + return os.path.join(fixtures_dir, file) + + def test_llamaparse_driver_can_be_created(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + assert driver.supported_levels == ['page', 'block'] + + def test_llamaparse_driver_handle_invalid_key(self): + driver = LlamaParseDriver(LlamaParseConfig(api_key='invalid')) + + path = self.__fixture_path('empty-doc.pdf') + + with pytest.raises(AuthenticationException): + driver.parse(path) + + def test_llamaparse_driver_handle_not_existing_file(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('non-existing-file.pdf') + + with pytest.raises(FileNotFoundException): + driver.parse(path) + + def test_llamaparse_driver_unrecognized_level_handled(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('empty-doc.pdf') + + with pytest.raises(ValueError) as excinfo: + driver.parse(path, level='custom') + + assert 'not supported' in str(excinfo.value) + assert '[custom]' in str(excinfo.value) + + def test_llamaparse_driver_read_empty_document_block_level(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('empty-doc.pdf') + document = driver.parse(path) + + assert document is not None + assert document.language is None + assert document.outline is None + assert document.metadata is None + assert len(document.pages) >= 1 + assert isinstance(document.pages[0], Page) + assert isinstance(document.pages[0].text, str) + + def test_llamaparse_driver_read_empty_document_page_level(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('empty-doc.pdf') + document = driver.parse(path, level='page') + + assert document is not None + assert document.language is None + assert document.outline is None + assert document.metadata is None + assert len(document.pages) >= 1 + assert isinstance(document.pages[0], Page) + assert isinstance(document.pages[0].text, str) + + def test_llamaparse_driver_read_document(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('test-doc.pdf') + document = driver.parse(path, level='page') + + assert document is not None + assert document.language is None + assert document.outline is None + assert document.metadata is None + assert len(document.pages) == 1 + assert isinstance(document.pages[0], Page) + assert document.pages[0].number == 1 + assert isinstance(document.pages[0].text, str) + assert len(document.pages[0].text) > 0 + + def test_llamaparse_driver_read_document_as_blocks(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('test-doc.pdf') + document = driver.parse(path, level='block') + + assert document is not None + assert len(document.pages) == 1 + assert isinstance(document.pages[0].blocks, list) + assert len(document.pages[0].blocks) > 0 + + @patch('parxy_core.drivers.abstract_driver.tracer') + def test_llamaparse_driver_tracing_span_created(self, mock_tracer): + # Setup mocks for the span context manager + mock_span = MagicMock() + mock_span.__enter__ = Mock(return_value=mock_span) + mock_span.__exit__ = Mock(return_value=False) + mock_tracer.span = Mock(return_value=mock_span) + mock_tracer.count = Mock() + mock_tracer.info = Mock() + + driver = LlamaParseDriver(LlamaParseConfig()) + path = self.__fixture_path('empty-doc.pdf') + document = driver.parse(path, level='block') + + # Verify tracer.span was called to create span + mock_tracer.span.assert_called() + + # Find the 'document-processing' span call (from abstract_driver.parse) + span_calls = mock_tracer.span.call_args_list + doc_processing_call = [ + c for c in span_calls if c[0][0] == 'document-processing' + ][0] + + # Verify span attributes + assert doc_processing_call[1]['driver'] == 'LlamaParseDriver' + assert doc_processing_call[1]['level'] == 'block' + + # Verify counter was incremented via tracer.count + mock_tracer.count.assert_called_once() + count_call = mock_tracer.count.call_args + assert count_call[0][0] == 'documents.processed' + assert count_call[1]['driver'] == 'LlamaParseDriver' + + @patch('parxy_core.drivers.abstract_driver.tracer') + def test_llamaparse_driver_tracing_exception_recorded(self, mock_tracer): + # Setup mocks + mock_span = MagicMock() + mock_span.__enter__ = Mock(return_value=mock_span) + mock_span.__exit__ = Mock(return_value=False) + mock_tracer.span = Mock(return_value=mock_span) + mock_tracer.count = Mock() + mock_tracer.error = Mock() + + driver = LlamaParseDriver(LlamaParseConfig()) + path = self.__fixture_path('non-existing-file.pdf') + + # Attempt to parse non-existing file + with pytest.raises(FileNotFoundException): + driver.parse(path) + + # Verify error was logged via tracer.error + mock_tracer.error.assert_called_once() + error_call = mock_tracer.error.call_args + assert error_call[0][0] == 'Parsing failed' + + # Verify documents.failures counter was incremented + mock_tracer.count.assert_called_once() + count_call = mock_tracer.count.call_args + assert count_call[0][0] == 'documents.failures' + assert count_call[1]['driver'] == 'LlamaParseDriver' + + def test_llamaparse_driver_parsing_metadata_populated(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('test-doc.pdf') + document = driver.parse(path, level='block') + + assert document.parsing_metadata is not None + assert 'job_id' in document.parsing_metadata + assert isinstance(document.parsing_metadata['job_id'], str) + assert 'job_status' in document.parsing_metadata + assert document.parsing_metadata['job_status'] == 'COMPLETED' + assert 'tier' in document.parsing_metadata + assert 'cost_estimation' in document.parsing_metadata + assert isinstance(document.parsing_metadata['cost_estimation'], (int, float)) + assert document.parsing_metadata['cost_estimation'] >= 0 + assert 'cost_estimation_unit' in document.parsing_metadata + assert document.parsing_metadata['cost_estimation_unit'] == 'credits' + + def test_llamaparse_driver_legacy_parse_mode_maps_to_tier(self): + driver = LlamaParseDriver(LlamaParseConfig(parse_mode='parse_page_with_llm')) + + path = self.__fixture_path('test-doc.pdf') + document = driver.parse(path, level='page') + + assert document is not None + assert document.parsing_metadata is not None + assert document.parsing_metadata.get('tier') == 'cost_effective' + + def test_llamaparse_driver_tier_override_per_call(self): + driver = LlamaParseDriver(LlamaParseConfig()) + + path = self.__fixture_path('test-doc.pdf') + document = driver.parse(path, level='page', tier='fast') + + assert document is not None + assert document.parsing_metadata is not None + assert document.parsing_metadata.get('tier') == 'fast' diff --git a/uv.lock b/uv.lock index 54ac07e..15c4652 100644 --- a/uv.lock +++ b/uv.lock @@ -2,14 +2,22 @@ version = 1 revision = 3 requires-python = ">=3.12" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.13.*' and sys_platform == 'win32'", - "python_full_version == '3.13.*' and sys_platform == 'emscripten'", - "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", - 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