Spaces:
Sleeping
Sleeping
File size: 4,418 Bytes
df37f6e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 |
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import List, Dict, Any, Optional
class MessageText(BaseModel):
text: list[str] = Field(default_factory=list)
class Message(BaseModel):
text: MessageText | None = None
payload: dict | None = None
class FulfillmentResponse(BaseModel):
messages: list[Message] = Field(default_factory=list)
class SessionInfo(BaseModel):
parameters: dict[str, Any] = Field(default_factory=dict)
class DialogflowResponse(BaseModel):
fulfillment_response: FulfillmentResponse
sessionInfo: Optional[SessionInfo] = Field(default_factory=dict)
def DialogFlowResponseAPI(
text: list[str] = None,
payload: dict | None = None,
parameters: dict | None = None,
):
messages = []
if text:
messages.append(Message(text=MessageText(text=text)))
if payload:
messages.append(Message(payload=payload))
response_data = DialogflowResponse(
fulfillment_response=FulfillmentResponse(messages=messages),
sessionInfo=SessionInfo(parameters=parameters or {}),
)
return JSONResponse(content=response_data.model_dump())
def dialogflow_response(
text: list[str] | None = None,
payload: dict | None = None,
parameters: dict | None = None,
) -> JSONResponse:
messages: List[Message] = []
if text:
messages.append(Message(text=MessageText(text=text)))
if payload:
messages.append(Message(payload=payload))
response = DialogflowResponse(
fulfillment_response=FulfillmentResponse(messages=messages),
sessionInfo=SessionInfo(parameters=parameters or {}),
)
return JSONResponse(content=response.model_dump(mode="json"))
def dialogflow_error(message: str) -> JSONResponse:
return dialogflow_response(text=[message])
def dialogflow_choice(
prompt: str, options: list[str], parameters: dict | None = None
) -> JSONResponse:
chips = {
"richContent": [[{"type": "chips", "options": [{"text": o} for o in options]}]]
}
return dialogflow_response(text=[prompt], payload=chips, parameters=parameters)
class DialogflowResponseBuilder:
def __init__(self):
self._messages: list[Message] = []
self._parameters: dict = {}
def add_text(self, lines: list[str]) -> "DialogflowResponseBuilder":
if lines:
self._messages.append(Message(text=MessageText(text=lines)))
return self
def add_payload(self, payload: dict) -> "DialogflowResponseBuilder":
if payload:
self._messages.append(Message(payload=payload))
return self
def add_choice_chips(
self,
options: list[str] | list[dict],
key: str = None,
prompt: str | None = None,
) -> "DialogflowResponseBuilder":
if options:
chips = {
"richContent": [
[
{
"type": "chips",
"options": [
(
{"text": option.get(key, "")}
if isinstance(option, dict)
else {"text": option}
)
for option in options
],
}
]
]
}
self.add_payload(chips)
if prompt:
self.add_text([prompt])
return self
def set_parameters(self, parameters: dict[str, any]) -> "DialogflowResponseBuilder":
if parameters:
self._parameters = parameters
return self
def build(self) -> JSONResponse:
response = DialogflowResponse(
fulfillment_response=FulfillmentResponse(messages=self._messages),
sessionInfo=SessionInfo(parameters=self._parameters),
)
return JSONResponse(content=response.model_dump(mode="json"))
## Use Builder return (
# DialogflowResponseBuilder()
# .add_choice_chips(["Xem vé", "Đặt vé"], prompt="Bạn muốn làm gì tiếp?")
# .set_parameters({"next_step": "booking"})
# .build()
# )
class DialogServiceResult(BaseModel):
text: list[str] | None = None
options: list[str] | list[dict] | None = None
parameters: dict | None = None
|