Extract shared DoclingServeClient for async workflow & use it for VLM support, chunking, converting
This commit is contained in:
parent
3b7fd440cc
commit
f861664656
11 changed files with 30996 additions and 14952 deletions
|
|
@ -2,10 +2,9 @@ import re
|
|||
from io import BytesIO
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
import httpx
|
||||
|
||||
from haiku.rag.chunkers.base import DocumentChunker
|
||||
from haiku.rag.config import AppConfig, Config
|
||||
from haiku.rag.providers.docling_serve import DoclingServeClient
|
||||
from haiku.rag.store.models.chunk import Chunk, ChunkMetadata
|
||||
|
||||
if TYPE_CHECKING:
|
||||
|
|
@ -56,11 +55,25 @@ class DoclingServeChunker(DocumentChunker):
|
|||
|
||||
def __init__(self, config: AppConfig = Config):
|
||||
self.config = config
|
||||
self.base_url = config.providers.docling_serve.base_url.rstrip("/")
|
||||
self.api_key = config.providers.docling_serve.api_key
|
||||
self.timeout = config.providers.docling_serve.timeout
|
||||
self.client = DoclingServeClient(
|
||||
base_url=config.providers.docling_serve.base_url,
|
||||
api_key=config.providers.docling_serve.api_key,
|
||||
)
|
||||
self.chunker_type = config.processing.chunker_type
|
||||
|
||||
def _build_chunking_data(self) -> dict[str, str]:
|
||||
"""Build form data for chunking request."""
|
||||
return {
|
||||
"chunking_max_tokens": str(self.config.processing.chunk_size),
|
||||
"chunking_tokenizer": self.config.processing.chunking_tokenizer,
|
||||
"chunking_merge_peers": str(
|
||||
self.config.processing.chunking_merge_peers
|
||||
).lower(),
|
||||
"chunking_use_markdown_tables": str(
|
||||
self.config.processing.chunking_use_markdown_tables
|
||||
).lower(),
|
||||
}
|
||||
|
||||
async def _call_chunk_api(self, document: "DoclingDocument") -> list[dict]:
|
||||
"""Call docling-serve chunking API and return raw chunk data.
|
||||
|
||||
|
|
@ -75,9 +88,9 @@ class DoclingServeChunker(DocumentChunker):
|
|||
"""
|
||||
# Determine endpoint based on chunker_type
|
||||
if self.chunker_type == "hierarchical":
|
||||
url = f"{self.base_url}/v1/chunk/hierarchical/file"
|
||||
endpoint = "/v1/chunk/hierarchical/file/async"
|
||||
else:
|
||||
url = f"{self.base_url}/v1/chunk/hybrid/file"
|
||||
endpoint = "/v1/chunk/hybrid/file/async"
|
||||
|
||||
# Export document to JSON
|
||||
doc_json = document.model_dump_json()
|
||||
|
|
@ -85,53 +98,16 @@ class DoclingServeChunker(DocumentChunker):
|
|||
|
||||
# Prepare multipart request with DoclingDocument JSON
|
||||
files = {"files": ("document.json", BytesIO(doc_bytes), "application/json")}
|
||||
data = self._build_chunking_data()
|
||||
|
||||
# Build form data with chunking parameters
|
||||
data = {
|
||||
"chunking_max_tokens": str(self.config.processing.chunk_size),
|
||||
"chunking_tokenizer": self.config.processing.chunking_tokenizer,
|
||||
"chunking_merge_peers": str(
|
||||
self.config.processing.chunking_merge_peers
|
||||
).lower(),
|
||||
"chunking_use_markdown_tables": str(
|
||||
self.config.processing.chunking_use_markdown_tables
|
||||
).lower(),
|
||||
}
|
||||
result = await self.client.submit_and_poll(
|
||||
endpoint=endpoint,
|
||||
files=files,
|
||||
data=data,
|
||||
name="document",
|
||||
)
|
||||
|
||||
headers = {}
|
||||
if self.api_key:
|
||||
headers["X-Api-Key"] = self.api_key
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=self.timeout) as client:
|
||||
response = await client.post(
|
||||
url,
|
||||
files=files,
|
||||
data=data,
|
||||
headers=headers,
|
||||
)
|
||||
response.raise_for_status()
|
||||
result = response.json()
|
||||
return result.get("chunks", [])
|
||||
|
||||
except httpx.ConnectError as e:
|
||||
raise ValueError(
|
||||
f"Could not connect to docling-serve at {self.base_url}. "
|
||||
f"Ensure the service is running and accessible. Error: {e}"
|
||||
)
|
||||
except httpx.TimeoutException as e:
|
||||
raise ValueError(
|
||||
f"Request to docling-serve timed out after {self.timeout}s. "
|
||||
f"Consider increasing the timeout in configuration. Error: {e}"
|
||||
)
|
||||
except httpx.HTTPStatusError as e:
|
||||
if e.response.status_code == 401:
|
||||
raise ValueError(
|
||||
"Authentication failed. Check your API key configuration."
|
||||
)
|
||||
raise ValueError(f"HTTP error from docling-serve: {e}")
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to chunk via docling-serve: {e}")
|
||||
return result.get("chunks", [])
|
||||
|
||||
async def chunk(self, document: "DoclingDocument") -> list[Chunk]:
|
||||
"""Split the document into chunks with metadata via docling-serve.
|
||||
|
|
|
|||
|
|
@ -164,7 +164,6 @@ class OllamaConfig(BaseModel):
|
|||
class DoclingServeConfig(BaseModel):
|
||||
base_url: str = "http://localhost:5001"
|
||||
api_key: str = ""
|
||||
timeout: int = 300
|
||||
|
||||
|
||||
class ProvidersConfig(BaseModel):
|
||||
|
|
|
|||
|
|
@ -1,18 +1,20 @@
|
|||
"""docling-serve remote converter implementation."""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING, ClassVar
|
||||
|
||||
import httpx
|
||||
|
||||
from haiku.rag.config import AppConfig
|
||||
from haiku.rag.converters.base import DocumentConverter
|
||||
from haiku.rag.converters.text_utils import TextFileHandler
|
||||
from haiku.rag.providers.docling_serve import DoclingServeClient
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from docling_core.types.doc.document import DoclingDocument
|
||||
|
||||
from haiku.rag.config.models import ModelConfig
|
||||
|
||||
|
||||
class DoclingServeConverter(DocumentConverter):
|
||||
"""Converter that uses docling-serve for document conversion.
|
||||
|
|
@ -53,17 +55,70 @@ class DoclingServeConverter(DocumentConverter):
|
|||
config: Application configuration containing docling-serve settings.
|
||||
"""
|
||||
self.config = config
|
||||
self.base_url = config.providers.docling_serve.base_url.rstrip("/")
|
||||
self.api_key = config.providers.docling_serve.api_key
|
||||
self.timeout = config.providers.docling_serve.timeout
|
||||
self.client = DoclingServeClient(
|
||||
base_url=config.providers.docling_serve.base_url,
|
||||
api_key=config.providers.docling_serve.api_key,
|
||||
)
|
||||
|
||||
@property
|
||||
def supported_extensions(self) -> list[str]:
|
||||
"""Return list of file extensions supported by this converter."""
|
||||
return self.docling_serve_extensions + TextFileHandler.text_extensions
|
||||
|
||||
def _get_vlm_api_url(self, model: "ModelConfig") -> str:
|
||||
"""Construct VLM API URL from model config."""
|
||||
if model.base_url:
|
||||
base = model.base_url.rstrip("/")
|
||||
return f"{base}/v1/chat/completions"
|
||||
|
||||
if model.provider == "ollama":
|
||||
base = self.config.providers.ollama.base_url.rstrip("/")
|
||||
return f"{base}/v1/chat/completions"
|
||||
|
||||
if model.provider == "openai":
|
||||
return "https://api.openai.com/v1/chat/completions"
|
||||
|
||||
raise ValueError(f"Unsupported VLM provider: {model.provider}")
|
||||
|
||||
def _build_conversion_data(self) -> dict[str, str | list[str]]:
|
||||
"""Build form data for conversion request."""
|
||||
opts = self.config.processing.conversion_options
|
||||
pic_desc = opts.picture_description
|
||||
|
||||
data: dict[str, str | list[str]] = {
|
||||
"to_formats": "json",
|
||||
"do_ocr": str(opts.do_ocr).lower(),
|
||||
"force_ocr": str(opts.force_ocr).lower(),
|
||||
"do_table_structure": str(opts.do_table_structure).lower(),
|
||||
"table_mode": opts.table_mode,
|
||||
"table_cell_matching": str(opts.table_cell_matching).lower(),
|
||||
"images_scale": str(opts.images_scale),
|
||||
"generate_picture_images": str(
|
||||
opts.generate_picture_images or pic_desc.enabled
|
||||
).lower(),
|
||||
"do_picture_description": str(pic_desc.enabled).lower(),
|
||||
}
|
||||
|
||||
if opts.ocr_lang:
|
||||
data["ocr_lang"] = opts.ocr_lang
|
||||
|
||||
if pic_desc.enabled:
|
||||
prompt = self.config.prompts.picture_description
|
||||
picture_description_api = {
|
||||
"url": self._get_vlm_api_url(pic_desc.model),
|
||||
"params": {
|
||||
"model": pic_desc.model.name,
|
||||
"max_completion_tokens": pic_desc.max_tokens,
|
||||
},
|
||||
"prompt": prompt,
|
||||
"timeout": pic_desc.timeout,
|
||||
}
|
||||
data["picture_description_api"] = json.dumps(picture_description_api)
|
||||
|
||||
return data
|
||||
|
||||
async def _make_request(self, files: dict, name: str) -> "DoclingDocument":
|
||||
"""Make a request to docling-serve and return the DoclingDocument.
|
||||
"""Make an async request to docling-serve and poll for results.
|
||||
|
||||
Args:
|
||||
files: Dictionary with files parameter for httpx
|
||||
|
|
@ -77,73 +132,27 @@ class DoclingServeConverter(DocumentConverter):
|
|||
"""
|
||||
from docling_core.types.doc.document import DoclingDocument
|
||||
|
||||
try:
|
||||
opts = self.config.processing.conversion_options
|
||||
data = self._build_conversion_data()
|
||||
result = await self.client.submit_and_poll(
|
||||
endpoint="/v1/convert/file/async",
|
||||
files=files,
|
||||
data=data,
|
||||
name=name,
|
||||
)
|
||||
|
||||
data: dict[str, str | list[str]] = {
|
||||
"to_formats": "json",
|
||||
"do_ocr": str(opts.do_ocr).lower(),
|
||||
"force_ocr": str(opts.force_ocr).lower(),
|
||||
"do_table_structure": str(opts.do_table_structure).lower(),
|
||||
"table_mode": opts.table_mode,
|
||||
"table_cell_matching": str(opts.table_cell_matching).lower(),
|
||||
"images_scale": str(opts.images_scale),
|
||||
"generate_picture_images": str(opts.generate_picture_images).lower(),
|
||||
}
|
||||
if result.get("status") not in ("success", "partial_success", None):
|
||||
errors = result.get("errors", [])
|
||||
raise ValueError(f"Conversion failed: {errors}")
|
||||
|
||||
if opts.ocr_lang:
|
||||
data["ocr_lang"] = opts.ocr_lang
|
||||
json_content = result.get("document", {}).get("json_content")
|
||||
|
||||
headers = {}
|
||||
if self.api_key:
|
||||
headers["X-Api-Key"] = self.api_key
|
||||
|
||||
url = f"{self.base_url}/v1/convert/file"
|
||||
|
||||
async with httpx.AsyncClient(timeout=self.timeout) as client:
|
||||
response = await client.post(
|
||||
url,
|
||||
files=files,
|
||||
data=data,
|
||||
headers=headers,
|
||||
)
|
||||
response.raise_for_status()
|
||||
result = response.json()
|
||||
|
||||
if result["status"] not in ("success", "partial_success"):
|
||||
errors = result.get("errors", [])
|
||||
raise ValueError(f"Conversion failed: {errors}")
|
||||
|
||||
json_content = result["document"]["json_content"]
|
||||
|
||||
if json_content is None:
|
||||
raise ValueError(
|
||||
f"docling-serve did not return JSON content for {name}. "
|
||||
"This may indicate an unsupported file format."
|
||||
)
|
||||
|
||||
return DoclingDocument.model_validate(json_content)
|
||||
|
||||
except httpx.ConnectError as e:
|
||||
if json_content is None:
|
||||
raise ValueError(
|
||||
f"Could not connect to docling-serve at {self.base_url}. "
|
||||
f"Ensure the service is running and accessible. Error: {e}"
|
||||
f"docling-serve did not return JSON content for {name}. "
|
||||
"This may indicate an unsupported file format."
|
||||
)
|
||||
except httpx.TimeoutException as e:
|
||||
raise ValueError(
|
||||
f"Request to docling-serve timed out after {self.timeout}s. "
|
||||
f"Consider increasing the timeout in configuration. Error: {e}"
|
||||
)
|
||||
except httpx.HTTPStatusError as e:
|
||||
if e.response.status_code == 401:
|
||||
raise ValueError(
|
||||
"Authentication failed. Check your API key configuration."
|
||||
)
|
||||
raise ValueError(f"HTTP error from docling-serve: {e}")
|
||||
except ValueError:
|
||||
raise
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to convert via docling-serve: {e}")
|
||||
|
||||
return DoclingDocument.model_validate(json_content)
|
||||
|
||||
async def convert_file(self, path: Path) -> "DoclingDocument":
|
||||
"""Convert a file to DoclingDocument using docling-serve.
|
||||
|
|
|
|||
5
haiku_rag_slim/haiku/rag/providers/__init__.py
Normal file
5
haiku_rag_slim/haiku/rag/providers/__init__.py
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
"""Provider clients for external services."""
|
||||
|
||||
from haiku.rag.providers.docling_serve import DoclingServeClient
|
||||
|
||||
__all__ = ["DoclingServeClient"]
|
||||
108
haiku_rag_slim/haiku/rag/providers/docling_serve.py
Normal file
108
haiku_rag_slim/haiku/rag/providers/docling_serve.py
Normal file
|
|
@ -0,0 +1,108 @@
|
|||
"""Shared client for docling-serve async API."""
|
||||
|
||||
import asyncio
|
||||
from typing import Any
|
||||
|
||||
import httpx
|
||||
|
||||
|
||||
class DoclingServeClient:
|
||||
"""Client for docling-serve async workflow.
|
||||
|
||||
Handles the submit → poll → fetch pattern used by both conversion and chunking.
|
||||
"""
|
||||
|
||||
def __init__(self, base_url: str, api_key: str | None = None, timeout: float = 300):
|
||||
self.base_url = base_url.rstrip("/")
|
||||
self.api_key = api_key
|
||||
self.timeout = timeout
|
||||
|
||||
def _get_headers(self) -> dict[str, str]:
|
||||
"""Get headers for API requests."""
|
||||
headers: dict[str, str] = {}
|
||||
if self.api_key:
|
||||
headers["X-Api-Key"] = self.api_key
|
||||
return headers
|
||||
|
||||
async def submit_and_poll(
|
||||
self,
|
||||
endpoint: str,
|
||||
files: dict[str, Any],
|
||||
data: dict[str, Any],
|
||||
name: str = "document",
|
||||
) -> dict[str, Any]:
|
||||
"""Submit a task and poll until completion.
|
||||
|
||||
Args:
|
||||
endpoint: The async endpoint path (e.g., "/v1/convert/file/async")
|
||||
files: Files to upload
|
||||
data: Form data parameters
|
||||
name: Name for error messages
|
||||
|
||||
Returns:
|
||||
The result dictionary from the completed task
|
||||
|
||||
Raises:
|
||||
ValueError: If the task fails or service is unavailable
|
||||
"""
|
||||
headers = self._get_headers()
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=self.timeout) as client:
|
||||
# Submit async task
|
||||
submit_url = f"{self.base_url}{endpoint}"
|
||||
response = await client.post(
|
||||
submit_url,
|
||||
files=files,
|
||||
data=data,
|
||||
headers=headers,
|
||||
)
|
||||
response.raise_for_status()
|
||||
submit_result = response.json()
|
||||
task_id = submit_result.get("task_id")
|
||||
|
||||
if not task_id:
|
||||
raise ValueError("docling-serve did not return a task_id")
|
||||
|
||||
# Poll for completion
|
||||
poll_url = f"{self.base_url}/v1/status/poll/{task_id}"
|
||||
while True:
|
||||
poll_response = await client.get(poll_url, headers=headers)
|
||||
poll_response.raise_for_status()
|
||||
poll_result = poll_response.json()
|
||||
status = poll_result.get("task_status")
|
||||
|
||||
if status == "success":
|
||||
break
|
||||
elif status in ("failure", "error"):
|
||||
raise ValueError(
|
||||
f"docling-serve task failed for {name}: {poll_result}"
|
||||
)
|
||||
|
||||
await asyncio.sleep(1)
|
||||
|
||||
# Fetch result
|
||||
result_url = f"{self.base_url}/v1/result/{task_id}"
|
||||
result_response = await client.get(result_url, headers=headers)
|
||||
result_response.raise_for_status()
|
||||
return result_response.json()
|
||||
|
||||
except httpx.ConnectError as e:
|
||||
raise ValueError(
|
||||
f"Could not connect to docling-serve at {self.base_url}. "
|
||||
f"Ensure the service is running and accessible. Error: {e}"
|
||||
)
|
||||
except httpx.TimeoutException as e:
|
||||
raise ValueError(
|
||||
f"Request to docling-serve timed out after {self.timeout}s. Error: {e}"
|
||||
)
|
||||
except httpx.HTTPStatusError as e:
|
||||
if e.response.status_code == 401:
|
||||
raise ValueError(
|
||||
"Authentication failed. Check your API key configuration."
|
||||
)
|
||||
raise ValueError(f"HTTP error from docling-serve: {e}")
|
||||
except ValueError:
|
||||
raise
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to process via docling-serve: {e}")
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -1,13 +1,14 @@
|
|||
interactions:
|
||||
- request:
|
||||
body: "--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
|
||||
form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
|
||||
form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
|
||||
name=\"table_mode\"\r\n\r\naccurate\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition:
|
||||
form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
|
||||
name=\"generate_picture_images\"\r\n\r\nfalse\r\n--313fb28cff30a333a81f610f9c6bdaf3\r\nContent-Disposition: form-data;
|
||||
name=\"files\"; filename=\"tmpgc9za8mg.md\"\r\nContent-Type: text/markdown\r\n\r\n```python\ndef test():\n return
|
||||
42\n```\r\n--313fb28cff30a333a81f610f9c6bdaf3--\r\n"
|
||||
body: "--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition:
|
||||
form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition:
|
||||
form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data;
|
||||
name=\"table_mode\"\r\n\r\naccurate\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition:
|
||||
form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data;
|
||||
name=\"generate_picture_images\"\r\n\r\nfalse\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data;
|
||||
name=\"do_picture_description\"\r\n\r\nfalse\r\n--26e45846cd2f5c82db7b770428d74912\r\nContent-Disposition: form-data;
|
||||
name=\"files\"; filename=\"tmp0aa4633w.md\"\r\nContent-Type: text/markdown\r\n\r\n```python\ndef test():\n return
|
||||
42\n```\r\n--26e45846cd2f5c82db7b770428d74912--\r\n"
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
|
|
@ -16,23 +17,107 @@ interactions:
|
|||
connection:
|
||||
- keep-alive
|
||||
content-length:
|
||||
- '1011'
|
||||
- '1119'
|
||||
content-type:
|
||||
- multipart/form-data; boundary=313fb28cff30a333a81f610f9c6bdaf3
|
||||
- multipart/form-data; boundary=26e45846cd2f5c82db7b770428d74912
|
||||
host:
|
||||
- localhost:5001
|
||||
method: POST
|
||||
uri: http://localhost:5001/v1/convert/file
|
||||
uri: http://localhost:5001/v1/convert/file/async
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '1113'
|
||||
- '131'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 7436648c-490d-4938-b42b-9755823f8d78
|
||||
task_meta: null
|
||||
task_position: 1
|
||||
task_status: pending
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/status/poll/7436648c-490d-4938-b42b-9755823f8d78
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '134'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 7436648c-490d-4938-b42b-9755823f8d78
|
||||
task_meta: null
|
||||
task_position: null
|
||||
task_status: started
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/status/poll/7436648c-490d-4938-b42b-9755823f8d78
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '134'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 7436648c-490d-4938-b42b-9755823f8d78
|
||||
task_meta: null
|
||||
task_position: null
|
||||
task_status: success
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/result/7436648c-490d-4938-b42b-9755823f8d78
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '1114'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
document:
|
||||
doctags_content: null
|
||||
filename: tmpgc9za8mg.md
|
||||
filename: tmp0aa4633w.md
|
||||
html_content: null
|
||||
json_content:
|
||||
body:
|
||||
|
|
@ -55,10 +140,10 @@ interactions:
|
|||
self_ref: '#/furniture'
|
||||
groups: []
|
||||
key_value_items: []
|
||||
name: tmpgc9za8mg
|
||||
name: tmp0aa4633w
|
||||
origin:
|
||||
binary_hash: 9008975733065065710
|
||||
filename: tmpgc9za8mg.md
|
||||
filename: tmp0aa4633w.md
|
||||
mimetype: text/markdown
|
||||
uri: null
|
||||
pages: {}
|
||||
|
|
@ -91,7 +176,7 @@ interactions:
|
|||
md_content: null
|
||||
text_content: null
|
||||
errors: []
|
||||
processing_time: 0.002258999999980915
|
||||
processing_time: 0.0027105000044684857
|
||||
status: success
|
||||
timings: {}
|
||||
status:
|
||||
|
|
|
|||
|
|
@ -1,12 +1,13 @@
|
|||
interactions:
|
||||
- request:
|
||||
body: "--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
|
||||
form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
|
||||
form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
|
||||
name=\"table_mode\"\r\n\r\naccurate\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition:
|
||||
form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
|
||||
name=\"generate_picture_images\"\r\n\r\nfalse\r\n--a906caa5bbe5d30e17b44fb63c456240\r\nContent-Disposition: form-data;
|
||||
name=\"files\"; filename=\"content.md\"\r\nContent-Type: text/markdown\r\n\r\n# Test Document\n\nThis is a test.\r\n--a906caa5bbe5d30e17b44fb63c456240--\r\n"
|
||||
body: "--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data; name=\"to_formats\"\r\n\r\njson\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition:
|
||||
form-data; name=\"do_ocr\"\r\n\r\ntrue\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data; name=\"force_ocr\"\r\n\r\nfalse\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition:
|
||||
form-data; name=\"do_table_structure\"\r\n\r\ntrue\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data;
|
||||
name=\"table_mode\"\r\n\r\naccurate\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data; name=\"table_cell_matching\"\r\n\r\ntrue\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition:
|
||||
form-data; name=\"images_scale\"\r\n\r\n2.0\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data;
|
||||
name=\"generate_picture_images\"\r\n\r\nfalse\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data;
|
||||
name=\"do_picture_description\"\r\n\r\nfalse\r\n--9df242c136eddc0594e7eb126b1f39cd\r\nContent-Disposition: form-data;
|
||||
name=\"files\"; filename=\"content.md\"\r\nContent-Type: text/markdown\r\n\r\n# Test Document\n\nThis is a test.\r\n--9df242c136eddc0594e7eb126b1f39cd--\r\n"
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
|
|
@ -15,13 +16,97 @@ interactions:
|
|||
connection:
|
||||
- keep-alive
|
||||
content-length:
|
||||
- '1000'
|
||||
- '1108'
|
||||
content-type:
|
||||
- multipart/form-data; boundary=a906caa5bbe5d30e17b44fb63c456240
|
||||
- multipart/form-data; boundary=9df242c136eddc0594e7eb126b1f39cd
|
||||
host:
|
||||
- localhost:5001
|
||||
method: POST
|
||||
uri: http://localhost:5001/v1/convert/file
|
||||
uri: http://localhost:5001/v1/convert/file/async
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '131'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
task_meta: null
|
||||
task_position: 1
|
||||
task_status: pending
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/status/poll/9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '134'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
task_meta: null
|
||||
task_position: null
|
||||
task_status: started
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/status/poll/9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
- '134'
|
||||
content-type:
|
||||
- application/json
|
||||
parsed_body:
|
||||
task_id: 9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
task_meta: null
|
||||
task_position: null
|
||||
task_status: success
|
||||
task_type: convert
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: ''
|
||||
headers:
|
||||
accept:
|
||||
- '*/*'
|
||||
accept-encoding:
|
||||
- gzip, deflate, zstd
|
||||
connection:
|
||||
- keep-alive
|
||||
host:
|
||||
- localhost:5001
|
||||
method: GET
|
||||
uri: http://localhost:5001/v1/result/9f7f1455-1ab6-4830-b5a5-3e63419379ae
|
||||
response:
|
||||
headers:
|
||||
content-length:
|
||||
|
|
@ -94,7 +179,7 @@ interactions:
|
|||
md_content: null
|
||||
text_content: null
|
||||
errors: []
|
||||
processing_time: 0.004331874999934371
|
||||
processing_time: 0.004173958994215354
|
||||
status: success
|
||||
timings: {}
|
||||
status:
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
|
|
@ -232,6 +232,28 @@ def test_get_chunker_docling_serve():
|
|||
assert isinstance(chunker, DoclingServeChunker)
|
||||
|
||||
|
||||
def create_async_workflow_mocks(
|
||||
result_data: dict, task_id: str = "test-task-123"
|
||||
) -> tuple[Mock, Mock, Mock]:
|
||||
"""Create mock responses for docling-serve async workflow."""
|
||||
submit_response = Mock()
|
||||
submit_response.status_code = 200
|
||||
submit_response.json.return_value = {"task_id": task_id, "task_status": "pending"}
|
||||
submit_response.raise_for_status = Mock()
|
||||
|
||||
poll_response = Mock()
|
||||
poll_response.status_code = 200
|
||||
poll_response.json.return_value = {"task_id": task_id, "task_status": "success"}
|
||||
poll_response.raise_for_status = Mock()
|
||||
|
||||
result_response = Mock()
|
||||
result_response.status_code = 200
|
||||
result_response.json.return_value = result_data
|
||||
result_response.raise_for_status = Mock()
|
||||
|
||||
return submit_response, poll_response, result_response
|
||||
|
||||
|
||||
class TestDoclingServeChunker:
|
||||
"""Tests for DoclingServeChunker (mocked)."""
|
||||
|
||||
|
|
@ -241,7 +263,6 @@ class TestDoclingServeChunker:
|
|||
config = AppConfig()
|
||||
config.providers.docling_serve.base_url = "http://localhost:5001"
|
||||
config.providers.docling_serve.api_key = ""
|
||||
config.providers.docling_serve.timeout = 300
|
||||
config.processing.chunk_size = 256
|
||||
config.processing.chunking_tokenizer = "Qwen/Qwen3-Embedding-0.6B"
|
||||
return config
|
||||
|
|
@ -252,21 +273,20 @@ class TestDoclingServeChunker:
|
|||
return DoclingServeChunker(config)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_success(self, mock_client_class, chunker):
|
||||
"""Test successful chunking via docling-serve."""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"""Test successful chunking via docling-serve async workflow."""
|
||||
result_data = {
|
||||
"chunks": [
|
||||
{"text": "Chunk 1", "chunk_index": 0},
|
||||
{"text": "Chunk 2", "chunk_index": 1},
|
||||
]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(result_data)
|
||||
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client_class.return_value.__aenter__.return_value = mock_client
|
||||
|
||||
# Create a simple document
|
||||
|
|
@ -280,21 +300,18 @@ class TestDoclingServeChunker:
|
|||
mock_client.post.assert_called_once()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_with_api_key(self, mock_client_class, config):
|
||||
"""Test that API key is included in request headers."""
|
||||
config.providers.docling_serve.api_key = "test-key"
|
||||
chunker = DoclingServeChunker(config)
|
||||
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"chunks": [{"text": "Chunk 1", "chunk_index": 0}]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
result_data = {"chunks": [{"text": "Chunk 1", "chunk_index": 0}]}
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(result_data)
|
||||
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client_class.return_value.__aenter__.return_value = mock_client
|
||||
|
||||
converter = get_converter(Config)
|
||||
|
|
@ -306,21 +323,18 @@ class TestDoclingServeChunker:
|
|||
assert call_kwargs["headers"]["X-Api-Key"] == "test-key"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_hierarchical_endpoint(self, mock_client_class, config):
|
||||
"""Test that hierarchical chunker uses correct endpoint."""
|
||||
config.processing.chunker_type = "hierarchical"
|
||||
chunker = DoclingServeChunker(config)
|
||||
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"chunks": [{"text": "Chunk 1", "chunk_index": 0}]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
result_data = {"chunks": [{"text": "Chunk 1", "chunk_index": 0}]}
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(result_data)
|
||||
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client_class.return_value.__aenter__.return_value = mock_client
|
||||
|
||||
converter = get_converter(Config)
|
||||
|
|
@ -328,10 +342,10 @@ class TestDoclingServeChunker:
|
|||
await chunker.chunk(doc)
|
||||
|
||||
call_args = mock_client.post.call_args
|
||||
assert "/v1/chunk/hierarchical/file" in call_args[0][0]
|
||||
assert "/v1/chunk/hierarchical/file/async" in call_args[0][0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_passes_config_parameters(self, mock_client_class, config):
|
||||
"""Test that all config parameters are passed to API."""
|
||||
config.processing.chunk_size = 512
|
||||
|
|
@ -339,15 +353,12 @@ class TestDoclingServeChunker:
|
|||
config.processing.chunking_use_markdown_tables = True
|
||||
chunker = DoclingServeChunker(config)
|
||||
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"chunks": [{"text": "Chunk 1", "chunk_index": 0}]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
result_data = {"chunks": [{"text": "Chunk 1", "chunk_index": 0}]}
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(result_data)
|
||||
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client_class.return_value.__aenter__.return_value = mock_client
|
||||
|
||||
converter = get_converter(Config)
|
||||
|
|
@ -361,7 +372,7 @@ class TestDoclingServeChunker:
|
|||
assert data["chunking_use_markdown_tables"] == "true"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_connection_error(self, mock_client_class, chunker):
|
||||
"""Test handling of connection errors."""
|
||||
import httpx
|
||||
|
|
@ -377,7 +388,7 @@ class TestDoclingServeChunker:
|
|||
await chunker.chunk(doc)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_timeout_error(self, mock_client_class, chunker):
|
||||
"""Test handling of timeout errors."""
|
||||
import httpx
|
||||
|
|
@ -393,7 +404,7 @@ class TestDoclingServeChunker:
|
|||
await chunker.chunk(doc)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_auth_error(self, mock_client_class, chunker):
|
||||
"""Test handling of authentication errors."""
|
||||
import httpx
|
||||
|
|
@ -416,18 +427,14 @@ class TestDoclingServeChunker:
|
|||
await chunker.chunk(doc)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@patch("haiku.rag.chunkers.docling_serve.httpx.AsyncClient")
|
||||
@patch("haiku.rag.providers.docling_serve.httpx.AsyncClient")
|
||||
async def test_chunk_metadata_extraction(self, mock_client_class, chunker):
|
||||
"""Test that metadata is correctly extracted from API response.
|
||||
|
||||
Labels are resolved from the DoclingDocument using the refs, so we need
|
||||
to create a document with matching structure for the mocked API response.
|
||||
"""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
# docling-serve returns doc_items as list of ref strings
|
||||
# We'll reference texts[0], texts[1], and tables[0]
|
||||
mock_response.json.return_value = {
|
||||
result_data = {
|
||||
"chunks": [
|
||||
{
|
||||
"text": "Chapter 1\nThis is content.",
|
||||
|
|
@ -443,10 +450,11 @@ class TestDoclingServeChunker:
|
|||
},
|
||||
]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(result_data)
|
||||
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client_class.return_value.__aenter__.return_value = mock_client
|
||||
|
||||
# Create a document with texts and tables that match the mocked refs
|
||||
|
|
|
|||
|
|
@ -54,6 +54,31 @@ def create_mock_docling_document_json(name: str = "test") -> dict:
|
|||
}
|
||||
|
||||
|
||||
def create_async_workflow_mocks(
|
||||
doc_json: dict, task_id: str = "test-task-123"
|
||||
) -> tuple[Mock, Mock, Mock]:
|
||||
"""Create mock responses for docling-serve async workflow.
|
||||
|
||||
Returns tuple of (submit_response, poll_response, result_response).
|
||||
"""
|
||||
submit_response = Mock()
|
||||
submit_response.status_code = 200
|
||||
submit_response.json.return_value = {"task_id": task_id, "task_status": "pending"}
|
||||
submit_response.raise_for_status = Mock()
|
||||
|
||||
poll_response = Mock()
|
||||
poll_response.status_code = 200
|
||||
poll_response.json.return_value = {"task_id": task_id, "task_status": "success"}
|
||||
poll_response.raise_for_status = Mock()
|
||||
|
||||
result_response = Mock()
|
||||
result_response.status_code = 200
|
||||
result_response.json.return_value = {"document": {"json_content": doc_json}}
|
||||
result_response.raise_for_status = Mock()
|
||||
|
||||
return submit_response, poll_response, result_response
|
||||
|
||||
|
||||
class TestTextFileHandler:
|
||||
"""Tests for TextFileHandler utility class."""
|
||||
|
||||
|
|
@ -429,7 +454,6 @@ class TestDoclingServeConverter:
|
|||
config = AppConfig()
|
||||
config.providers.docling_serve.base_url = "http://localhost:5001"
|
||||
config.providers.docling_serve.api_key = ""
|
||||
config.providers.docling_serve.timeout = 300
|
||||
return config
|
||||
|
||||
@pytest.fixture
|
||||
|
|
@ -439,8 +463,7 @@ class TestDoclingServeConverter:
|
|||
|
||||
def test_initialization(self, converter):
|
||||
"""Test converter initialization."""
|
||||
assert converter.base_url == "http://localhost:5001"
|
||||
assert converter.timeout == 300
|
||||
assert converter.client.base_url == "http://localhost:5001"
|
||||
|
||||
def test_supported_extensions(self, converter):
|
||||
"""Test that converter reports correct supported extensions."""
|
||||
|
|
@ -452,18 +475,14 @@ class TestDoclingServeConverter:
|
|||
|
||||
@pytest.mark.asyncio
|
||||
async def test_convert_text_success(self, converter):
|
||||
"""Test successful text conversion via docling-serve."""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": create_mock_docling_document_json("test")},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
"""Test successful text conversion via docling-serve async workflow."""
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -479,17 +498,13 @@ class TestDoclingServeConverter:
|
|||
config.providers.docling_serve.api_key = "test-key"
|
||||
converter = DoclingServeConverter(config)
|
||||
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": create_mock_docling_document_json("test")},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -512,17 +527,13 @@ class TestDoclingServeConverter:
|
|||
config.processing.conversion_options.images_scale = 3.0
|
||||
converter = DoclingServeConverter(config)
|
||||
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": create_mock_docling_document_json("test")},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -591,17 +602,16 @@ class TestDoclingServeConverter:
|
|||
@pytest.mark.asyncio
|
||||
async def test_convert_text_no_json_content(self, converter):
|
||||
"""Test handling when docling-serve returns no JSON content."""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": None},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
submit_resp, poll_resp, _ = create_async_workflow_mocks({})
|
||||
result_resp = Mock()
|
||||
result_resp.status_code = 200
|
||||
result_resp.json.return_value = {"document": {"json_content": None}}
|
||||
result_resp.raise_for_status = Mock()
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -611,18 +621,14 @@ class TestDoclingServeConverter:
|
|||
|
||||
@pytest.mark.asyncio
|
||||
async def test_convert_file_pdf(self, converter):
|
||||
"""Test converting PDF file via docling-serve."""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": create_mock_docling_document_json("test")},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
"""Test converting PDF file via docling-serve async workflow."""
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -639,17 +645,13 @@ class TestDoclingServeConverter:
|
|||
@pytest.mark.asyncio
|
||||
async def test_convert_file_text(self, converter):
|
||||
"""Test converting text file (reads locally, sends to docling-serve)."""
|
||||
mock_response = Mock()
|
||||
mock_response.status_code = 200
|
||||
mock_response.json.return_value = {
|
||||
"status": "success",
|
||||
"document": {"json_content": create_mock_docling_document_json("test")},
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=mock_response)
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
|
@ -666,6 +668,124 @@ class TestDoclingServeConverter:
|
|||
assert "files" in call_kwargs
|
||||
|
||||
|
||||
class TestDoclingServeConverterPictureDescription:
|
||||
"""Tests for DoclingServeConverter picture description support."""
|
||||
|
||||
@pytest.fixture
|
||||
def config(self):
|
||||
"""Create test configuration."""
|
||||
config = AppConfig()
|
||||
config.providers.docling_serve.base_url = "http://localhost:5001"
|
||||
config.providers.docling_serve.api_key = ""
|
||||
return config
|
||||
|
||||
def test_get_vlm_api_url_with_ollama(self, config):
|
||||
"""Test VLM API URL construction for Ollama provider."""
|
||||
converter = DoclingServeConverter(config)
|
||||
from haiku.rag.config.models import ModelConfig
|
||||
|
||||
model = ModelConfig(provider="ollama", name="ministral-3")
|
||||
url = converter._get_vlm_api_url(model)
|
||||
assert url == "http://localhost:11434/v1/chat/completions"
|
||||
|
||||
def test_get_vlm_api_url_with_custom_base_url(self, config):
|
||||
"""Test VLM API URL construction with custom base_url."""
|
||||
converter = DoclingServeConverter(config)
|
||||
from haiku.rag.config.models import ModelConfig
|
||||
|
||||
model = ModelConfig(
|
||||
provider="openai", name="gpt-4-vision", base_url="http://my-vllm:8000"
|
||||
)
|
||||
url = converter._get_vlm_api_url(model)
|
||||
assert url == "http://my-vllm:8000/v1/chat/completions"
|
||||
|
||||
def test_get_vlm_api_url_with_openai(self, config):
|
||||
"""Test VLM API URL construction for OpenAI provider."""
|
||||
converter = DoclingServeConverter(config)
|
||||
from haiku.rag.config.models import ModelConfig
|
||||
|
||||
model = ModelConfig(provider="openai", name="gpt-4-vision")
|
||||
url = converter._get_vlm_api_url(model)
|
||||
assert url == "https://api.openai.com/v1/chat/completions"
|
||||
|
||||
def test_get_vlm_api_url_unsupported_provider(self, config):
|
||||
"""Test VLM API URL construction raises error for unsupported provider."""
|
||||
converter = DoclingServeConverter(config)
|
||||
from haiku.rag.config.models import ModelConfig
|
||||
|
||||
model = ModelConfig(provider="unsupported", name="test")
|
||||
with pytest.raises(ValueError, match="Unsupported VLM provider"):
|
||||
converter._get_vlm_api_url(model)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_picture_description_options_passed_to_api(self, config):
|
||||
"""Test that picture description options are passed to docling-serve API."""
|
||||
import json
|
||||
|
||||
config.processing.conversion_options.picture_description.enabled = True
|
||||
config.processing.conversion_options.picture_description.model.provider = (
|
||||
"ollama"
|
||||
)
|
||||
config.processing.conversion_options.picture_description.model.name = (
|
||||
"ministral-3"
|
||||
)
|
||||
config.processing.conversion_options.picture_description.timeout = 120
|
||||
config.processing.conversion_options.picture_description.max_tokens = 300
|
||||
config.prompts.picture_description = "Test prompt for picture description"
|
||||
converter = DoclingServeConverter(config)
|
||||
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
||||
await converter.convert_text("# Test")
|
||||
|
||||
call_kwargs = mock_client.post.call_args.kwargs
|
||||
assert "data" in call_kwargs
|
||||
data = call_kwargs["data"]
|
||||
|
||||
assert data["do_picture_description"] == "true"
|
||||
assert data["generate_picture_images"] == "true"
|
||||
assert "picture_description_api" in data
|
||||
|
||||
api_config = json.loads(data["picture_description_api"])
|
||||
assert api_config["url"] == "http://localhost:11434/v1/chat/completions"
|
||||
assert api_config["params"]["model"] == "ministral-3"
|
||||
assert api_config["params"]["max_completion_tokens"] == 300
|
||||
assert api_config["prompt"] == "Test prompt for picture description"
|
||||
assert api_config["timeout"] == 120
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_picture_description_disabled_by_default(self, config):
|
||||
"""Test that picture description is disabled by default."""
|
||||
converter = DoclingServeConverter(config)
|
||||
|
||||
doc_json = create_mock_docling_document_json("test")
|
||||
submit_resp, poll_resp, result_resp = create_async_workflow_mocks(doc_json)
|
||||
|
||||
with patch("httpx.AsyncClient") as mock_client_class:
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post = AsyncMock(return_value=submit_resp)
|
||||
mock_client.get = AsyncMock(side_effect=[poll_resp, result_resp])
|
||||
mock_client.__aenter__ = AsyncMock(return_value=mock_client)
|
||||
mock_client.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_client_class.return_value = mock_client
|
||||
|
||||
await converter.convert_text("# Test")
|
||||
|
||||
call_kwargs = mock_client.post.call_args.kwargs
|
||||
data = call_kwargs["data"]
|
||||
assert data["do_picture_description"] == "false"
|
||||
assert "picture_description_api" not in data
|
||||
|
||||
|
||||
class TestDoclingServeConverterIntegration:
|
||||
"""Integration tests with real docling-serve recorded via VCR."""
|
||||
|
||||
|
|
@ -702,3 +822,48 @@ class TestDoclingServeConverterIntegration:
|
|||
assert isinstance(doc, DoclingDocument)
|
||||
result = doc.export_to_markdown()
|
||||
assert "def test():" in result
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.integration
|
||||
async def test_picture_description_end_to_end(self, config):
|
||||
"""End-to-end test: convert PDF with VLM picture descriptions via docling-serve.
|
||||
|
||||
Note: Not using VCR because this test involves polling with changing task IDs.
|
||||
"""
|
||||
pdf_path = Path("tests/data/doclaynet.pdf")
|
||||
if not pdf_path.exists():
|
||||
pytest.skip("doclaynet.pdf not found")
|
||||
|
||||
config.processing.conversion_options.picture_description.enabled = True
|
||||
config.processing.conversion_options.picture_description.model.provider = (
|
||||
"ollama"
|
||||
)
|
||||
config.processing.conversion_options.picture_description.model.name = (
|
||||
"ministral-3"
|
||||
)
|
||||
# Use host.docker.internal so docling-serve in Docker can reach host's Ollama
|
||||
config.processing.conversion_options.picture_description.model.base_url = (
|
||||
"http://host.docker.internal:11434"
|
||||
)
|
||||
converter = DoclingServeConverter(config)
|
||||
|
||||
doc = await converter.convert_file(pdf_path)
|
||||
|
||||
assert doc.pictures, "Document should have pictures"
|
||||
|
||||
from docling_core.types.doc.document import PictureDescriptionData
|
||||
|
||||
pictures_with_descriptions = []
|
||||
markdown = doc.export_to_markdown()
|
||||
for pic in doc.pictures:
|
||||
for ann in pic.annotations:
|
||||
if isinstance(ann, PictureDescriptionData):
|
||||
pictures_with_descriptions.append(pic)
|
||||
assert ann.text in markdown, (
|
||||
f"Picture description '{ann.text[:50]}...' should be in markdown"
|
||||
)
|
||||
break
|
||||
|
||||
assert pictures_with_descriptions, (
|
||||
"At least one picture should have a VLM description"
|
||||
)
|
||||
|
|
|
|||
Loading…
Reference in a new issue