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added conditions

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This commit is contained in:
Yannick Stephan
2025-02-16 19:34:27 +01:00
parent 7f5f44a646
commit 730e2bc8ce
1 changed files with 21 additions and 22 deletions
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43
lightrag/api/lightrag_server.py
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@@ -638,33 +638,35 @@ class QueryRequest(BaseModel):
only_need_prompt: Optional[bool] = Field(default=None) only_need_prompt: Optional[bool] = Field(default=None)
"""Defines the response format. Examples: 'Multiple Paragraphs', 'Single Paragraph', 'Bullet Points'.""" """Defines the response format. Examples: 'Multiple Paragraphs', 'Single Paragraph', 'Bullet Points'."""
response_type: Optional[str] = Field(default=None) response_type: Optional[str] = Field(min_length=1, default=None)
"""Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode.""" """Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode."""
top_k: Optional[int] = Field(default=None) top_k: Optional[int] = Field(gt=1, default=None)
"""Maximum number of tokens allowed for each retrieved text chunk.""" """Maximum number of tokens allowed for each retrieved text chunk."""
max_token_for_text_unit: Optional[int] = Field(default=None) max_token_for_text_unit: Optional[int] = Field(gt=1, default=None)
"""Maximum number of tokens allocated for relationship descriptions in global retrieval.""" """Maximum number of tokens allocated for relationship descriptions in global retrieval."""
max_token_for_global_context: Optional[int] = Field(default=None) max_token_for_global_context: Optional[int] = Field(gt=1, default=None)
"""Maximum number of tokens allocated for entity descriptions in local retrieval.""" """Maximum number of tokens allocated for entity descriptions in local retrieval."""
max_token_for_local_context: Optional[int] = Field(default=None) max_token_for_local_context: Optional[int] = Field(gt=1, default=None)
"""List of high-level keywords to prioritize in retrieval.""" """List of high-level keywords to prioritize in retrieval."""
hl_keywords: Optional[List[str]] = Field(default=None) hl_keywords: Optional[List[str]] = Field(min_length=1, default=None)
"""List of low-level keywords to refine retrieval focus.""" """List of low-level keywords to refine retrieval focus."""
ll_keywords: Optional[List[str]] = Field(default=None) ll_keywords: Optional[List[str]] = Field(min_length=1, default=None)
"""Stores past conversation history to maintain context. """Stores past conversation history to maintain context.
Format: [{"role": "user/assistant", "content": "message"}]. Format: [{"role": "user/assistant", "content": "message"}].
""" """
conversation_history: Optional[List[dict[str, Any]]] = Field(default=None) conversation_history: Optional[List[dict[str, Any]]] = Field(
min_length=1, default=None
)
"""Number of complete conversation turns (user-assistant pairs) to consider in the response context.""" """Number of complete conversation turns (user-assistant pairs) to consider in the response context."""
history_turns: Optional[int] = Field(default=None) history_turns: Optional[int] = Field(gt=1, default=None)
class QueryResponse(BaseModel): class QueryResponse(BaseModel):
@@ -672,24 +674,21 @@ class QueryResponse(BaseModel):
class InsertTextRequest(BaseModel): class InsertTextRequest(BaseModel):
text: str text: str = Field(min_length=1)
@field_validator('text', mode='after') @field_validator("text", mode="after")
@classmethod @classmethod
def check_not_empty(cls, text: str) -> str: def strip_after(cls, text: str) -> str:
if not text: return text.strip()
raise ValueError("Text cannot be empty")
return text
class InsertTextsRequest(BaseModel): class InsertTextsRequest(BaseModel):
texts: list[str] = Field(default_factory=list) texts: list[str] = Field(min_length=1)
@field_validator('texts', mode='after') @field_validator("texts", mode="after")
@classmethod @classmethod
def check_not_empty(cls, texts: list[str]) -> list[str]: def strip_after(cls, texts: list[str]) -> list[str]:
if not texts: return [text.strip() for text in texts]
raise ValueError("Texts cannot be empty")
return texts
class InsertResponse(BaseModel): class InsertResponse(BaseModel):