Files
ragflow/common/constants.py
euvre 2846a93998 Fix: Remove hardcoded page limits causing parsing failures on large PDFs (>300 pages) (#14382)
### What problem does this PR solve?

Fixes #14196

## Problem

When using DeepDOC to parse large PDFs (over 1000 pages), the parser
silently truncated processing at 300 pages due to a hardcoded default
`page_to=299` in `RAGFlowPdfParser.__images__()`. This caused:

- **Errors** on pages beyond the limit
- **Poor image quality** as the parser attempted to compensate with
missing page data
- **Inconsistent chunk splitting** between full PDF imports and partial
imports

Additionally, the codebase scattered magic numbers (`299`, `600`,
`10000`, `100000`, `100000000`, `10000000000`, `10**9`) across 22 files
as sentinel values for "parse all pages", making future maintenance
error-prone.

## Root Cause

```python
# deepdoc/parser/pdf_parser.py (before)
def __images__(self, fnm, zoomin=3, page_from=0, page_to=299, callback=None):
    # Only the first 300 pages were rendered; everything beyond was silently dropped
```

While most callers in `rag/app/*.py` correctly passed `to_page=100000`,
the base class `RAGFlowPdfParser.__call__()` and `parse_into_bboxes()`
invoked `__images__` **without** forwarding `page_from`/`page_to`,
falling back to the restrictive default of 299.

## Solution

### 1. Define constants in `common/constants.py`

```python
MAXIMUM_PAGE_NUMBER = 100000                        # Used by the parsing layer
MAXIMUM_TASK_PAGE_NUMBER = MAXIMUM_PAGE_NUMBER * 1000  # Used by the task/DB layer
```

### 2. Replace all hardcoded sentinel values

| Layer | Files Changed | Old Values | New Value |
|---|---|---|---|
| **Deepdoc parsers** | `pdf_parser.py`, `mineru_parser.py`,
`docling_parser.py`, `opendataloader_parser.py`, `paddleocr_parser.py`,
`docx_parser.py` | `299`, `600`, `10**9`, `100000000` |
`MAXIMUM_PAGE_NUMBER` |
| **Chunk parsers** | `naive.py`, `book.py`, `qa.py`, `one.py`,
`manual.py`, `paper.py`, `presentation.py`, `laws.py`, `resume.py`,
`email.py`, `table.py` | `100000`, `10000`, `10000000000` |
`MAXIMUM_PAGE_NUMBER` |
| **Task/DB layer** | `db_models.py`, `task_service.py`,
`document_service.py`, `file_service.py` | `100000000` |
`MAXIMUM_TASK_PAGE_NUMBER` |

### 3. Fix `parse_into_bboxes()` missing parameters

Added `from_page`/`to_page` parameters to `parse_into_bboxes()` so that
the `rag/flow/parser/parser.py` DeepDOC path no longer falls back to the
restrictive default.

## Files Changed (22)

- `common/constants.py`
- `deepdoc/parser/pdf_parser.py`
- `deepdoc/parser/mineru_parser.py`
- `deepdoc/parser/docling_parser.py`
- `deepdoc/parser/opendataloader_parser.py`
- `deepdoc/parser/paddleocr_parser.py`
- `deepdoc/parser/docx_parser.py`
- `rag/app/naive.py`
- `rag/app/book.py`
- `rag/app/qa.py`
- `rag/app/one.py`
- `rag/app/manual.py`
- `rag/app/paper.py`
- `rag/app/presentation.py`
- `rag/app/laws.py`
- `rag/app/resume.py`
- `rag/app/email.py`
- `rag/app/table.py`
- `api/db/db_models.py`
- `api/db/services/task_service.py`
- `api/db/services/document_service.py`
- `api/db/services/file_service.py`

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring

---------

Signed-off-by: noob <yixiao121314@outlook.com>
2026-04-27 14:57:20 +08:00

274 lines
7.6 KiB
Python

#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
from enum import Enum, IntEnum
from strenum import StrEnum
SERVICE_CONF = "service_conf.yaml"
RAG_FLOW_SERVICE_NAME = "ragflow"
SANDBOX_ARTIFACT_BUCKET = os.environ.get("SANDBOX_ARTIFACT_BUCKET", "sandbox-artifacts")
SANDBOX_ARTIFACT_EXPIRE_DAYS = int(os.environ.get("SANDBOX_ARTIFACT_EXPIRE_DAYS", "7"))
class CustomEnum(Enum):
@classmethod
def valid(cls, value):
try:
cls(value)
return True
except BaseException:
return False
@classmethod
def values(cls):
return [member.value for member in cls.__members__.values()]
@classmethod
def names(cls):
return [member.name for member in cls.__members__.values()]
class RetCode(IntEnum, CustomEnum):
SUCCESS = 0
NOT_EFFECTIVE = 10
EXCEPTION_ERROR = 100
ARGUMENT_ERROR = 101
DATA_ERROR = 102
OPERATING_ERROR = 103
CONNECTION_ERROR = 105
RUNNING = 106
PERMISSION_ERROR = 108
AUTHENTICATION_ERROR = 109
BAD_REQUEST = 400
UNAUTHORIZED = 401
SERVER_ERROR = 500
FORBIDDEN = 403
NOT_FOUND = 404
CONFLICT = 409
class StatusEnum(Enum):
VALID = "1"
INVALID = "0"
class ActiveEnum(Enum):
ACTIVE = "1"
INACTIVE = "0"
class LLMType(StrEnum):
CHAT = "chat"
EMBEDDING = "embedding"
SPEECH2TEXT = "speech2text"
IMAGE2TEXT = "image2text"
RERANK = "rerank"
TTS = "tts"
OCR = "ocr"
class TaskStatus(StrEnum):
UNSTART = "0"
RUNNING = "1"
CANCEL = "2"
DONE = "3"
FAIL = "4"
SCHEDULE = "5"
VALID_TASK_STATUS = {TaskStatus.UNSTART, TaskStatus.RUNNING, TaskStatus.CANCEL, TaskStatus.DONE, TaskStatus.FAIL, TaskStatus.SCHEDULE}
class ParserType(StrEnum):
PRESENTATION = "presentation"
LAWS = "laws"
MANUAL = "manual"
PAPER = "paper"
RESUME = "resume"
BOOK = "book"
QA = "qa"
TABLE = "table"
NAIVE = "naive"
PICTURE = "picture"
ONE = "one"
AUDIO = "audio"
EMAIL = "email"
KG = "knowledge_graph"
TAG = "tag"
class FileSource(StrEnum):
LOCAL = ""
KNOWLEDGEBASE = "knowledgebase"
RSS = "rss"
S3 = "s3"
NOTION = "notion"
DISCORD = "discord"
CONFLUENCE = "confluence"
GMAIL = "gmail"
GOOGLE_DRIVE = "google_drive"
JIRA = "jira"
SHAREPOINT = "sharepoint"
SLACK = "slack"
TEAMS = "teams"
WEBDAV = "webdav"
MOODLE = "moodle"
DROPBOX = "dropbox"
BOX = "box"
R2 = "r2"
OCI_STORAGE = "oci_storage"
GOOGLE_CLOUD_STORAGE = "google_cloud_storage"
AIRTABLE = "airtable"
ASANA = "asana"
GITHUB = "github"
GITLAB = "gitlab"
IMAP = "imap"
BITBUCKET = "bitbucket"
ZENDESK = "zendesk"
SEAFILE = "seafile"
MYSQL = "mysql"
POSTGRESQL = "postgresql"
DINGTALK_AI_TABLE = "dingtalk_ai_table"
class PipelineTaskType(StrEnum):
PARSE = "Parse"
DOWNLOAD = "Download"
RAPTOR = "RAPTOR"
GRAPH_RAG = "GraphRAG"
MINDMAP = "Mindmap"
MEMORY = "Memory"
VALID_PIPELINE_TASK_TYPES = {PipelineTaskType.PARSE, PipelineTaskType.DOWNLOAD, PipelineTaskType.RAPTOR, PipelineTaskType.GRAPH_RAG, PipelineTaskType.MINDMAP}
class MCPServerType(StrEnum):
SSE = "sse"
STREAMABLE_HTTP = "streamable-http"
VALID_MCP_SERVER_TYPES = {MCPServerType.SSE, MCPServerType.STREAMABLE_HTTP}
class Storage(Enum):
MINIO = 1
AZURE_SPN = 2
AZURE_SAS = 3
AWS_S3 = 4
OSS = 5
OPENDAL = 6
GCS = 7
class MemoryType(Enum):
RAW = 0b0001 # 1 << 0 = 1 (0b00000001)
SEMANTIC = 0b0010 # 1 << 1 = 2 (0b00000010)
EPISODIC = 0b0100 # 1 << 2 = 4 (0b00000100)
PROCEDURAL = 0b1000 # 1 << 3 = 8 (0b00001000)
class MemoryStorageType(StrEnum):
TABLE = "table"
GRAPH = "graph"
class ForgettingPolicy(StrEnum):
FIFO = "FIFO"
# environment
# ENV_STRONG_TEST_COUNT = "STRONG_TEST_COUNT"
# ENV_RAGFLOW_SECRET_KEY = "RAGFLOW_SECRET_KEY"
# ENV_REGISTER_ENABLED = "REGISTER_ENABLED"
# ENV_DOC_ENGINE = "DOC_ENGINE"
# ENV_SANDBOX_ENABLED = "SANDBOX_ENABLED"
# ENV_SANDBOX_HOST = "SANDBOX_HOST"
# ENV_MAX_CONTENT_LENGTH = "MAX_CONTENT_LENGTH"
# ENV_COMPONENT_EXEC_TIMEOUT = "COMPONENT_EXEC_TIMEOUT"
# ENV_TRINO_USE_TLS = "TRINO_USE_TLS"
# ENV_MAX_FILE_NUM_PER_USER = "MAX_FILE_NUM_PER_USER"
# ENV_MACOS = "MACOS"
# ENV_RAGFLOW_DEBUGPY_LISTEN = "RAGFLOW_DEBUGPY_LISTEN"
# ENV_WERKZEUG_RUN_MAIN = "WERKZEUG_RUN_MAIN"
# ENV_DISABLE_SDK = "DISABLE_SDK"
# ENV_ENABLE_TIMEOUT_ASSERTION = "ENABLE_TIMEOUT_ASSERTION"
# ENV_LOG_LEVELS = "LOG_LEVELS"
# ENV_TENSORRT_DLA_SVR = "TENSORRT_DLA_SVR"
# ENV_OCR_GPU_MEM_LIMIT_MB = "OCR_GPU_MEM_LIMIT_MB"
# ENV_OCR_ARENA_EXTEND_STRATEGY = "OCR_ARENA_EXTEND_STRATEGY"
# ENV_MAX_CONCURRENT_PROCESS_AND_EXTRACT_CHUNK = "MAX_CONCURRENT_PROCESS_AND_EXTRACT_CHUNK"
# ENV_MAX_MAX_CONCURRENT_CHATS = "MAX_CONCURRENT_CHATS"
# ENV_RAGFLOW_MCP_BASE_URL = "RAGFLOW_MCP_BASE_URL"
# ENV_RAGFLOW_MCP_HOST = "RAGFLOW_MCP_HOST"
# ENV_RAGFLOW_MCP_PORT = "RAGFLOW_MCP_PORT"
# ENV_RAGFLOW_MCP_LAUNCH_MODE = "RAGFLOW_MCP_LAUNCH_MODE"
# ENV_RAGFLOW_MCP_HOST_API_KEY = "RAGFLOW_MCP_HOST_API_KEY"
# ENV_MINERU_EXECUTABLE = "MINERU_EXECUTABLE"
# ENV_MINERU_APISERVER = "MINERU_APISERVER"
# ENV_MINERU_OUTPUT_DIR = "MINERU_OUTPUT_DIR"
# ENV_MINERU_BACKEND = "MINERU_BACKEND"
# ENV_MINERU_DELETE_OUTPUT = "MINERU_DELETE_OUTPUT"
# ENV_DOCLING_SERVER_URL = "DOCLING_SERVER_URL"
# ENV_DOCLING_OUTPUT_DIR = "DOCLING_OUTPUT_DIR"
# ENV_DOCLING_DELETE_OUTPUT = "DOCLING_DELETE_OUTPUT"
# ENV_TCADP_OUTPUT_DIR = "TCADP_OUTPUT_DIR"
# ENV_LM_TIMEOUT_SECONDS = "LM_TIMEOUT_SECONDS"
# ENV_LLM_MAX_RETRIES = "LLM_MAX_RETRIES"
# ENV_LLM_BASE_DELAY = "LLM_BASE_DELAY"
# ENV_OLLAMA_KEEP_ALIVE = "OLLAMA_KEEP_ALIVE"
# ENV_DOC_BULK_SIZE = "DOC_BULK_SIZE"
# ENV_EMBEDDING_BATCH_SIZE = "EMBEDDING_BATCH_SIZE"
# ENV_MAX_CONCURRENT_TASKS = "MAX_CONCURRENT_TASKS"
# ENV_MAX_CONCURRENT_CHUNK_BUILDERS = "MAX_CONCURRENT_CHUNK_BUILDERS"
# ENV_MAX_CONCURRENT_MINIO = "MAX_CONCURRENT_MINIO"
# ENV_WORKER_HEARTBEAT_TIMEOUT = "WORKER_HEARTBEAT_TIMEOUT"
# ENV_TRACE_MALLOC_ENABLED = "TRACE_MALLOC_ENABLED"
PAGERANK_FLD = "pagerank_fea"
SVR_QUEUE_NAME = "rag_flow_svr_queue"
SVR_CONSUMER_GROUP_NAME = "rag_flow_svr_task_broker"
TAG_FLD = "tag_feas"
# Maximum page number used as "unlimited" sentinel value.
# Parsing layer (chunk/Pdf.__call__) uses MAXIMUM_PAGE_NUMBER.
# Task/DB layer (Task model) uses MAXIMUM_PAGE_NUMBER * 1000 to avoid collision with user-specified page ranges.
MAXIMUM_PAGE_NUMBER = 100000
MAXIMUM_TASK_PAGE_NUMBER = MAXIMUM_PAGE_NUMBER * 1000
MINERU_ENV_KEYS = ["MINERU_APISERVER", "MINERU_OUTPUT_DIR", "MINERU_BACKEND", "MINERU_SERVER_URL", "MINERU_DELETE_OUTPUT"]
MINERU_DEFAULT_CONFIG = {
"MINERU_APISERVER": "",
"MINERU_OUTPUT_DIR": "",
"MINERU_BACKEND": "pipeline",
"MINERU_SERVER_URL": "",
"MINERU_DELETE_OUTPUT": 1,
}
PADDLEOCR_ENV_KEYS = ["PADDLEOCR_API_URL", "PADDLEOCR_ACCESS_TOKEN", "PADDLEOCR_ALGORITHM"]
PADDLEOCR_DEFAULT_CONFIG = {
"PADDLEOCR_API_URL": "",
"PADDLEOCR_ACCESS_TOKEN": None,
"PADDLEOCR_ALGORITHM": "PaddleOCR-VL",
}
OPENDATALOADER_ENV_KEYS = ["OPENDATALOADER_APISERVER"]
OPENDATALOADER_DEFAULT_CONFIG = {
"OPENDATALOADER_APISERVER": "",
}