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refac: re-use utils.misc

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This commit is contained in:
Michael Poluektov 2024-08-06 11:31:45 +01:00
parent 44c781f414
commit fc31267a54
4 changed files with 85 additions and 229 deletions
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252
backend/apps/ollama/main.py
View File

@ -44,7 +44,13 @@ from config import (
UPLOAD_DIR,
AppConfig,
)
from utils.misc import calculate_sha256, add_or_update_system_message
from utils.misc import (
apply_model_params_to_body_ollama,
calculate_sha256,
add_or_update_system_message,
apply_model_params_to_body_openai,
apply_model_system_prompt_to_body,
)
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
@ -699,6 +705,18 @@ class GenerateChatCompletionForm(BaseModel):
keep_alive: Optional[Union[int, str]] = None
def get_ollama_url(url_idx: Optional[int], model: str):
if url_idx is None:
if model not in app.state.MODELS:
raise HTTPException(
status_code=400,
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
)
url_idx = random.choice(app.state.MODELS[model]["urls"])
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
return url
@app.post("/api/chat")
@app.post("/api/chat/{url_idx}")
async def generate_chat_completion(
@ -706,17 +724,12 @@ async def generate_chat_completion(
url_idx: Optional[int] = None,
user=Depends(get_verified_user),
):
log.debug(
"form_data.model_dump_json(exclude_none=True).encode(): {0} ".format(
form_data.model_dump_json(exclude_none=True).encode()
)
)
log.debug(f"{form_data.model_dump_json(exclude_none=True).encode()}=")
payload = {
**form_data.model_dump(exclude_none=True, exclude=["metadata"]),
}
if "metadata" in payload:
del payload["metadata"]
payload.pop("metadata")
model_id = form_data.model
model_info = Models.get_model_by_id(model_id)
@ -731,148 +744,15 @@ async def generate_chat_completion(
if payload.get("options") is None:
payload["options"] = {}
if (
params.get("mirostat", None)
and payload["options"].get("mirostat") is None
):
payload["options"]["mirostat"] = params.get("mirostat", None)
if (
params.get("mirostat_eta", None)
and payload["options"].get("mirostat_eta") is None
):
payload["options"]["mirostat_eta"] = params.get("mirostat_eta", None)
if (
params.get("mirostat_tau", None)
and payload["options"].get("mirostat_tau") is None
):
payload["options"]["mirostat_tau"] = params.get("mirostat_tau", None)
if (
params.get("num_ctx", None)
and payload["options"].get("num_ctx") is None
):
payload["options"]["num_ctx"] = params.get("num_ctx", None)
if (
params.get("num_batch", None)
and payload["options"].get("num_batch") is None
):
payload["options"]["num_batch"] = params.get("num_batch", None)
if (
params.get("num_keep", None)
and payload["options"].get("num_keep") is None
):
payload["options"]["num_keep"] = params.get("num_keep", None)
if (
params.get("repeat_last_n", None)
and payload["options"].get("repeat_last_n") is None
):
payload["options"]["repeat_last_n"] = params.get("repeat_last_n", None)
if (
params.get("frequency_penalty", None)
and payload["options"].get("frequency_penalty") is None
):
payload["options"]["repeat_penalty"] = params.get(
"frequency_penalty", None
)
if (
params.get("temperature", None) is not None
and payload["options"].get("temperature") is None
):
payload["options"]["temperature"] = params.get("temperature", None)
if (
params.get("seed", None) is not None
and payload["options"].get("seed") is None
):
payload["options"]["seed"] = params.get("seed", None)
if params.get("stop", None) and payload["options"].get("stop") is None:
payload["options"]["stop"] = (
[
bytes(stop, "utf-8").decode("unicode_escape")
for stop in params["stop"]
]
if params.get("stop", None)
else None
)
if params.get("tfs_z", None) and payload["options"].get("tfs_z") is None:
payload["options"]["tfs_z"] = params.get("tfs_z", None)
if (
params.get("max_tokens", None)
and payload["options"].get("max_tokens") is None
):
payload["options"]["num_predict"] = params.get("max_tokens", None)
if params.get("top_k", None) and payload["options"].get("top_k") is None:
payload["options"]["top_k"] = params.get("top_k", None)
if params.get("top_p", None) and payload["options"].get("top_p") is None:
payload["options"]["top_p"] = params.get("top_p", None)
if params.get("min_p", None) and payload["options"].get("min_p") is None:
payload["options"]["min_p"] = params.get("min_p", None)
if (
params.get("use_mmap", None)
and payload["options"].get("use_mmap") is None
):
payload["options"]["use_mmap"] = params.get("use_mmap", None)
if (
params.get("use_mlock", None)
and payload["options"].get("use_mlock") is None
):
payload["options"]["use_mlock"] = params.get("use_mlock", None)
if (
params.get("num_thread", None)
and payload["options"].get("num_thread") is None
):
payload["options"]["num_thread"] = params.get("num_thread", None)
system = params.get("system", None)
if system:
system = prompt_template(
system,
**(
{
"user_name": user.name,
"user_location": (
user.info.get("location") if user.info else None
),
}
if user
else {}
),
payload["options"] = apply_model_params_to_body_ollama(
params, payload["options"]
)
payload = apply_model_system_prompt_to_body(params, payload, user)
if payload.get("messages"):
payload["messages"] = add_or_update_system_message(
system, payload["messages"]
)
if ":" not in payload["model"]:
payload["model"] = f"{payload['model']}:latest"
if url_idx is None:
if ":" not in payload["model"]:
payload["model"] = f"{payload['model']}:latest"
if payload["model"] in app.state.MODELS:
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
else:
raise HTTPException(
status_code=400,
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
)
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
url = get_ollama_url(url_idx, payload["model"])
log.info(f"url: {url}")
log.debug(payload)
@ -906,83 +786,27 @@ async def generate_openai_chat_completion(
url_idx: Optional[int] = None,
user=Depends(get_verified_user),
):
form_data = OpenAIChatCompletionForm(**form_data)
payload = {**form_data.model_dump(exclude_none=True, exclude=["metadata"])}
completion_form = OpenAIChatCompletionForm(**form_data)
payload = {**completion_form.model_dump(exclude_none=True, exclude=["metadata"])}
payload.pop("metadata")
if "metadata" in payload:
del payload["metadata"]
model_id = form_data.model
model_id = completion_form.model
model_info = Models.get_model_by_id(model_id)
if model_info:
if model_info.base_model_id:
payload["model"] = model_info.base_model_id
model_info.params = model_info.params.model_dump()
params = model_info.params.model_dump()
if model_info.params:
payload["temperature"] = model_info.params.get("temperature", None)
payload["top_p"] = model_info.params.get("top_p", None)
payload["max_tokens"] = model_info.params.get("max_tokens", None)
payload["frequency_penalty"] = model_info.params.get(
"frequency_penalty", None
)
payload["seed"] = model_info.params.get("seed", None)
payload["stop"] = (
[
bytes(stop, "utf-8").decode("unicode_escape")
for stop in model_info.params["stop"]
]
if model_info.params.get("stop", None)
else None
)
if params:
payload = apply_model_params_to_body_openai(params, payload)
payload = apply_model_system_prompt_to_body(params, payload, user)
system = model_info.params.get("system", None)
if ":" not in payload["model"]:
payload["model"] = f"{payload['model']}:latest"
if system:
system = prompt_template(
system,
**(
{
"user_name": user.name,
"user_location": (
user.info.get("location") if user.info else None
),
}
if user
else {}
),
)
# Check if the payload already has a system message
# If not, add a system message to the payload
if payload.get("messages"):
for message in payload["messages"]:
if message.get("role") == "system":
message["content"] = system + message["content"]
break
else:
payload["messages"].insert(
0,
{
"role": "system",
"content": system,
},
)
if url_idx is None:
if ":" not in payload["model"]:
payload["model"] = f"{payload['model']}:latest"
if payload["model"] in app.state.MODELS:
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
else:
raise HTTPException(
status_code=400,
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
)
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
url = get_ollama_url(url_idx, payload["model"])
log.info(f"url: {url}")
return await post_streaming_url(

7
backend/apps/openai/main.py
View File

@ -17,7 +17,10 @@ from utils.utils import (
get_verified_user,
get_admin_user,
)
from utils.misc import apply_model_params_to_body, apply_model_system_prompt_to_body
from utils.misc import (
apply_model_params_to_body_openai,
apply_model_system_prompt_to_body,
)
from config import (
SRC_LOG_LEVELS,
@ -366,7 +369,7 @@ async def generate_chat_completion(
payload["model"] = model_info.base_model_id
params = model_info.params.model_dump()
payload = apply_model_params_to_body(params, payload)
payload = apply_model_params_to_body_openai(params, payload)
payload = apply_model_system_prompt_to_body(params, payload, user)
model = app.state.MODELS[payload.get("model")]

4
backend/apps/webui/main.py
View File

@ -22,7 +22,7 @@ from apps.webui.utils import load_function_module_by_id
from utils.misc import (
openai_chat_chunk_message_template,
openai_chat_completion_message_template,
apply_model_params_to_body,
apply_model_params_to_body_openai,
apply_model_system_prompt_to_body,
)
@ -289,7 +289,7 @@ async def generate_function_chat_completion(form_data, user):
form_data["model"] = model_info.base_model_id
params = model_info.params.model_dump()
form_data = apply_model_params_to_body(params, form_data)
form_data = apply_model_params_to_body_openai(params, form_data)
form_data = apply_model_system_prompt_to_body(params, form_data, user)
pipe_id = get_pipe_id(form_data)

51
backend/utils/misc.py
View File

@ -2,7 +2,7 @@ from pathlib import Path
import hashlib
import re
from datetime import timedelta
from typing import Optional, List, Tuple
from typing import Optional, List, Tuple, Callable
import uuid
import time
@ -135,19 +135,12 @@ def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> di
# inplace function: form_data is modified
def apply_model_params_to_body(params: dict, form_data: dict) -> dict:
def apply_model_params_to_body(
params: dict, form_data: dict, mappings: dict[str, Callable]
) -> dict:
if not params:
return form_data
mappings = {
"temperature": float,
"top_p": int,
"max_tokens": int,
"frequency_penalty": int,
"seed": lambda x: x,
"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
}
for key, cast_func in mappings.items():
if (value := params.get(key)) is not None:
form_data[key] = cast_func(value)
@ -155,6 +148,42 @@ def apply_model_params_to_body(params: dict, form_data: dict) -> dict:
return form_data
OPENAI_MAPPINGS = {
"temperature": float,
"top_p": int,
"max_tokens": int,
"frequency_penalty": int,
"seed": lambda x: x,
"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
}
# inplace function: form_data is modified
def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
return apply_model_params_to_body(params, form_data, OPENAI_MAPPINGS)
def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
opts = [
"mirostat",
"mirostat_eta",
"mirostat_tau",
"num_ctx",
"num_batch",
"num_keep",
"repeat_last_n",
"tfs_z",
"top_k",
"min_p",
"use_mmap",
"use_mlock",
"num_thread",
]
mappings = {i: lambda x: x for i in opts}
mappings = {**mappings, **OPENAI_MAPPINGS}
return apply_model_params_to_body(params, form_data, mappings)
def get_gravatar_url(email):
# Trim leading and trailing whitespace from
# an email address and force all characters