Merge branch 'tracing-weave' of github.com:parambharat/dify into tracing-weave
Bharat Ramanathan
1 year ago
commit
a2f8a49d5d
@ -0,0 +1,25 @@
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from typing import Optional
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from pydantic import Field
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from pydantic_settings import BaseSettings
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class HuaweiCloudConfig(BaseSettings):
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"""
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Configuration settings for Huawei cloud search service
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"""
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HUAWEI_CLOUD_HOSTS: Optional[str] = Field(
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description="Hostname or IP address of the Huawei cloud search service instance",
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default=None,
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)
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HUAWEI_CLOUD_USER: Optional[str] = Field(
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description="Username for authenticating with Huawei cloud search service",
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default=None,
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)
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HUAWEI_CLOUD_PASSWORD: Optional[str] = Field(
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description="Password for authenticating with Huawei cloud search service",
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default=None,
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)
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@ -0,0 +1,52 @@
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import logging
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import os
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from collections.abc import Mapping
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from typing import Any
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from pydantic.fields import FieldInfo
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from .http_request import NacosHttpClient
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logger = logging.getLogger(__name__)
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from configs.remote_settings_sources.base import RemoteSettingsSource
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from .utils import _parse_config
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class NacosSettingsSource(RemoteSettingsSource):
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def __init__(self, configs: Mapping[str, Any]):
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self.configs = configs
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self.remote_configs: dict[str, Any] = {}
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self.async_init()
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def async_init(self):
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data_id = os.getenv("DIFY_ENV_NACOS_DATA_ID", "dify-api-env.properties")
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group = os.getenv("DIFY_ENV_NACOS_GROUP", "nacos-dify")
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tenant = os.getenv("DIFY_ENV_NACOS_NAMESPACE", "")
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params = {"dataId": data_id, "group": group, "tenant": tenant}
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try:
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content = NacosHttpClient().http_request("/nacos/v1/cs/configs", method="GET", headers={}, params=params)
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self.remote_configs = self._parse_config(content)
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except Exception as e:
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logger.exception("[get-access-token] exception occurred")
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raise
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def _parse_config(self, content: str) -> dict:
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if not content:
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return {}
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try:
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return _parse_config(self, content)
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except Exception as e:
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raise RuntimeError(f"Failed to parse config: {e}")
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def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
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if not isinstance(self.remote_configs, dict):
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raise ValueError(f"remote configs is not dict, but {type(self.remote_configs)}")
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field_value = self.remote_configs.get(field_name)
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if field_value is None:
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return None, field_name, False
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return field_value, field_name, False
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@ -0,0 +1,83 @@
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import base64
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import hashlib
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import hmac
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import logging
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import os
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import time
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import requests
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logger = logging.getLogger(__name__)
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class NacosHttpClient:
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def __init__(self):
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self.username = os.getenv("DIFY_ENV_NACOS_USERNAME")
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self.password = os.getenv("DIFY_ENV_NACOS_PASSWORD")
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self.ak = os.getenv("DIFY_ENV_NACOS_ACCESS_KEY")
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self.sk = os.getenv("DIFY_ENV_NACOS_SECRET_KEY")
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self.server = os.getenv("DIFY_ENV_NACOS_SERVER_ADDR", "localhost:8848")
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self.token = None
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self.token_ttl = 18000
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self.token_expire_time: float = 0
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def http_request(self, url, method="GET", headers=None, params=None):
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try:
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self._inject_auth_info(headers, params)
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response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params)
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response.raise_for_status()
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return response.text
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except requests.exceptions.RequestException as e:
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return f"Request to Nacos failed: {e}"
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def _inject_auth_info(self, headers, params, module="config"):
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headers.update({"User-Agent": "Nacos-Http-Client-In-Dify:v0.0.1"})
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if module == "login":
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return
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ts = str(int(time.time() * 1000))
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if self.ak and self.sk:
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sign_str = self.get_sign_str(params["group"], params["tenant"], ts)
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headers["Spas-AccessKey"] = self.ak
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headers["Spas-Signature"] = self.__do_sign(sign_str, self.sk)
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headers["timeStamp"] = ts
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if self.username and self.password:
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self.get_access_token(force_refresh=False)
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params["accessToken"] = self.token
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def __do_sign(self, sign_str, sk):
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return (
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base64.encodebytes(hmac.new(sk.encode(), sign_str.encode(), digestmod=hashlib.sha1).digest())
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.decode()
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.strip()
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)
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def get_sign_str(self, group, tenant, ts):
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sign_str = ""
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if tenant:
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sign_str = tenant + "+"
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if group:
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sign_str = sign_str + group + "+"
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if sign_str:
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sign_str += ts
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return sign_str
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def get_access_token(self, force_refresh=False):
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current_time = time.time()
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if self.token and not force_refresh and self.token_expire_time > current_time:
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return self.token
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params = {"username": self.username, "password": self.password}
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url = "http://" + self.server + "/nacos/v1/auth/login"
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try:
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resp = requests.request("POST", url, headers=None, params=params)
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resp.raise_for_status()
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response_data = resp.json()
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self.token = response_data.get("accessToken")
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self.token_ttl = response_data.get("tokenTtl", 18000)
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self.token_expire_time = current_time + self.token_ttl - 10
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except Exception as e:
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logger.exception("[get-access-token] exception occur")
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raise
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@ -0,0 +1,31 @@
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def _parse_config(self, content: str) -> dict[str, str]:
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config: dict[str, str] = {}
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if not content:
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return config
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for line in content.splitlines():
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cleaned_line = line.strip()
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if not cleaned_line or cleaned_line.startswith(("#", "!")):
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continue
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separator_index = -1
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for i, c in enumerate(cleaned_line):
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if c in ("=", ":") and (i == 0 or cleaned_line[i - 1] != "\\"):
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separator_index = i
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break
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if separator_index == -1:
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continue
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key = cleaned_line[:separator_index].strip()
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raw_value = cleaned_line[separator_index + 1 :].strip()
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try:
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decoded_value = bytes(raw_value, "utf-8").decode("unicode_escape")
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decoded_value = decoded_value.replace(r"\=", "=").replace(r"\:", ":")
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except UnicodeDecodeError:
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decoded_value = raw_value
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config[key] = decoded_value
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return config
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@ -0,0 +1,215 @@
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import json
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import logging
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import ssl
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from typing import Any, Optional
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from elasticsearch import Elasticsearch
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from pydantic import BaseModel, model_validator
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from configs import dify_config
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from core.rag.datasource.vdb.field import Field
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from core.rag.datasource.vdb.vector_base import BaseVector
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from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
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from core.rag.datasource.vdb.vector_type import VectorType
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from core.rag.embedding.embedding_base import Embeddings
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from core.rag.models.document import Document
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from extensions.ext_redis import redis_client
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from models.dataset import Dataset
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logger = logging.getLogger(__name__)
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def create_ssl_context() -> ssl.SSLContext:
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ssl_context = ssl.create_default_context()
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ssl_context.check_hostname = False
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ssl_context.verify_mode = ssl.CERT_NONE
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return ssl_context
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class HuaweiCloudVectorConfig(BaseModel):
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hosts: str
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username: str | None
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password: str | None
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@model_validator(mode="before")
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@classmethod
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def validate_config(cls, values: dict) -> dict:
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if not values["hosts"]:
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raise ValueError("config HOSTS is required")
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return values
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def to_elasticsearch_params(self) -> dict[str, Any]:
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params = {
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"hosts": self.hosts.split(","),
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"verify_certs": False,
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"ssl_show_warn": False,
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"request_timeout": 30000,
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"retry_on_timeout": True,
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"max_retries": 10,
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}
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if self.username and self.password:
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params["basic_auth"] = (self.username, self.password)
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return params
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class HuaweiCloudVector(BaseVector):
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def __init__(self, index_name: str, config: HuaweiCloudVectorConfig):
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super().__init__(index_name.lower())
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self._client = Elasticsearch(**config.to_elasticsearch_params())
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def get_type(self) -> str:
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return VectorType.HUAWEI_CLOUD
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def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
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uuids = self._get_uuids(documents)
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for i in range(len(documents)):
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self._client.index(
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index=self._collection_name,
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id=uuids[i],
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document={
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Field.CONTENT_KEY.value: documents[i].page_content,
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Field.VECTOR.value: embeddings[i] or None,
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Field.METADATA_KEY.value: documents[i].metadata or {},
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},
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)
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self._client.indices.refresh(index=self._collection_name)
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return uuids
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def text_exists(self, id: str) -> bool:
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return bool(self._client.exists(index=self._collection_name, id=id))
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def delete_by_ids(self, ids: list[str]) -> None:
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if not ids:
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return
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for id in ids:
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self._client.delete(index=self._collection_name, id=id)
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def delete_by_metadata_field(self, key: str, value: str) -> None:
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query_str = {"query": {"match": {f"metadata.{key}": f"{value}"}}}
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results = self._client.search(index=self._collection_name, body=query_str)
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ids = [hit["_id"] for hit in results["hits"]["hits"]]
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if ids:
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self.delete_by_ids(ids)
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def delete(self) -> None:
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self._client.indices.delete(index=self._collection_name)
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def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
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top_k = kwargs.get("top_k", 4)
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|
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query = {
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"size": top_k,
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"query": {
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"vector": {
|
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Field.VECTOR.value: {
|
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"vector": query_vector,
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||||
"topk": top_k,
|
||||
}
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||||
}
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||||
},
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||||
}
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results = self._client.search(index=self._collection_name, body=query)
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|
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docs_and_scores = []
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||||
for hit in results["hits"]["hits"]:
|
||||
docs_and_scores.append(
|
||||
(
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||||
Document(
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||||
page_content=hit["_source"][Field.CONTENT_KEY.value],
|
||||
vector=hit["_source"][Field.VECTOR.value],
|
||||
metadata=hit["_source"][Field.METADATA_KEY.value],
|
||||
),
|
||||
hit["_score"],
|
||||
)
|
||||
)
|
||||
|
||||
docs = []
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for doc, score in docs_and_scores:
|
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score_threshold = float(kwargs.get("score_threshold") or 0.0)
|
||||
if score > score_threshold:
|
||||
if doc.metadata is not None:
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doc.metadata["score"] = score
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||||
docs.append(doc)
|
||||
|
||||
return docs
|
||||
|
||||
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
|
||||
query_str = {"match": {Field.CONTENT_KEY.value: query}}
|
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results = self._client.search(index=self._collection_name, query=query_str, size=kwargs.get("top_k", 4))
|
||||
docs = []
|
||||
for hit in results["hits"]["hits"]:
|
||||
docs.append(
|
||||
Document(
|
||||
page_content=hit["_source"][Field.CONTENT_KEY.value],
|
||||
vector=hit["_source"][Field.VECTOR.value],
|
||||
metadata=hit["_source"][Field.METADATA_KEY.value],
|
||||
)
|
||||
)
|
||||
|
||||
return docs
|
||||
|
||||
def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
|
||||
metadatas = [d.metadata if d.metadata is not None else {} for d in texts]
|
||||
self.create_collection(embeddings, metadatas)
|
||||
self.add_texts(texts, embeddings, **kwargs)
|
||||
|
||||
def create_collection(
|
||||
self,
|
||||
embeddings: list[list[float]],
|
||||
metadatas: Optional[list[dict[Any, Any]]] = None,
|
||||
index_params: Optional[dict] = None,
|
||||
):
|
||||
lock_name = f"vector_indexing_lock_{self._collection_name}"
|
||||
with redis_client.lock(lock_name, timeout=20):
|
||||
collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
|
||||
if redis_client.get(collection_exist_cache_key):
|
||||
logger.info(f"Collection {self._collection_name} already exists.")
|
||||
return
|
||||
|
||||
if not self._client.indices.exists(index=self._collection_name):
|
||||
dim = len(embeddings[0])
|
||||
mappings = {
|
||||
"properties": {
|
||||
Field.CONTENT_KEY.value: {"type": "text"},
|
||||
Field.VECTOR.value: { # Make sure the dimension is correct here
|
||||
"type": "vector",
|
||||
"dimension": dim,
|
||||
"indexing": True,
|
||||
"algorithm": "GRAPH",
|
||||
"metric": "cosine",
|
||||
"neighbors": 32,
|
||||
"efc": 128,
|
||||
},
|
||||
Field.METADATA_KEY.value: {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"doc_id": {"type": "keyword"} # Map doc_id to keyword type
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
settings = {"index.vector": True}
|
||||
self._client.indices.create(index=self._collection_name, mappings=mappings, settings=settings)
|
||||
|
||||
redis_client.set(collection_exist_cache_key, 1, ex=3600)
|
||||
|
||||
|
||||
class HuaweiCloudVectorFactory(AbstractVectorFactory):
|
||||
def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> HuaweiCloudVector:
|
||||
if dataset.index_struct_dict:
|
||||
class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
|
||||
collection_name = class_prefix.lower()
|
||||
else:
|
||||
dataset_id = dataset.id
|
||||
collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
|
||||
dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.HUAWEI_CLOUD, collection_name))
|
||||
|
||||
return HuaweiCloudVector(
|
||||
index_name=collection_name,
|
||||
config=HuaweiCloudVectorConfig(
|
||||
hosts=dify_config.HUAWEI_CLOUD_HOSTS or "http://localhost:9200",
|
||||
username=dify_config.HUAWEI_CLOUD_USER,
|
||||
password=dify_config.HUAWEI_CLOUD_PASSWORD,
|
||||
),
|
||||
)
|
||||
@ -0,0 +1,63 @@
|
||||
"""
|
||||
Patch for OpenTelemetry context detach method to handle None tokens gracefully.
|
||||
|
||||
This patch addresses the issue where OpenTelemetry's context.detach() method raises a TypeError
|
||||
when called with a None token. The error occurs in the contextvars_context.py file where it tries
|
||||
to call reset() on a None token.
|
||||
|
||||
Related GitHub issue: https://github.com/langgenius/dify/issues/18496
|
||||
|
||||
Error being fixed:
|
||||
```
|
||||
Traceback (most recent call last):
|
||||
File "opentelemetry/context/__init__.py", line 154, in detach
|
||||
_RUNTIME_CONTEXT.detach(token)
|
||||
File "opentelemetry/context/contextvars_context.py", line 50, in detach
|
||||
self._current_context.reset(token) # type: ignore
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
TypeError: expected an instance of Token, got None
|
||||
```
|
||||
|
||||
Instead of modifying the third-party package directly, this patch monkey-patches the
|
||||
context.detach method to gracefully handle None tokens.
|
||||
"""
|
||||
|
||||
import logging
|
||||
from functools import wraps
|
||||
|
||||
from opentelemetry import context
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Store the original detach method
|
||||
original_detach = context.detach
|
||||
|
||||
|
||||
# Create a patched version that handles None tokens
|
||||
@wraps(original_detach)
|
||||
def patched_detach(token):
|
||||
"""
|
||||
A patched version of context.detach that handles None tokens gracefully.
|
||||
"""
|
||||
if token is None:
|
||||
logger.debug("Attempted to detach a None token, skipping")
|
||||
return
|
||||
|
||||
return original_detach(token)
|
||||
|
||||
|
||||
def is_enabled():
|
||||
"""
|
||||
Check if the extension is enabled.
|
||||
Always enable this patch to prevent errors even when OpenTelemetry is disabled.
|
||||
"""
|
||||
return True
|
||||
|
||||
|
||||
def init_app(app):
|
||||
"""
|
||||
Initialize the OpenTelemetry context patch.
|
||||
"""
|
||||
# Replace the original detach method with our patched version
|
||||
context.detach = patched_detach
|
||||
logger.info("OpenTelemetry context.detach patched to handle None tokens")
|
||||
@ -0,0 +1,88 @@
|
||||
import os
|
||||
|
||||
import pytest
|
||||
from _pytest.monkeypatch import MonkeyPatch
|
||||
from api.core.rag.datasource.vdb.field import Field
|
||||
from elasticsearch import Elasticsearch
|
||||
|
||||
|
||||
class MockIndicesClient:
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def create(self, index, mappings, settings):
|
||||
return {"acknowledge": True}
|
||||
|
||||
def refresh(self, index):
|
||||
return {"acknowledge": True}
|
||||
|
||||
def delete(self, index):
|
||||
return {"acknowledge": True}
|
||||
|
||||
def exists(self, index):
|
||||
return True
|
||||
|
||||
|
||||
class MockClient:
|
||||
def __init__(self, **kwargs):
|
||||
self.indices = MockIndicesClient()
|
||||
|
||||
def index(self, **kwargs):
|
||||
return {"acknowledge": True}
|
||||
|
||||
def exists(self, **kwargs):
|
||||
return True
|
||||
|
||||
def delete(self, **kwargs):
|
||||
return {"acknowledge": True}
|
||||
|
||||
def search(self, **kwargs):
|
||||
return {
|
||||
"took": 1,
|
||||
"hits": {
|
||||
"hits": [
|
||||
{
|
||||
"_source": {
|
||||
Field.CONTENT_KEY.value: "abcdef",
|
||||
Field.VECTOR.value: [1, 2],
|
||||
Field.METADATA_KEY.value: {},
|
||||
},
|
||||
"_score": 1.0,
|
||||
},
|
||||
{
|
||||
"_source": {
|
||||
Field.CONTENT_KEY.value: "123456",
|
||||
Field.VECTOR.value: [2, 2],
|
||||
Field.METADATA_KEY.value: {},
|
||||
},
|
||||
"_score": 0.9,
|
||||
},
|
||||
{
|
||||
"_source": {
|
||||
Field.CONTENT_KEY.value: "a1b2c3",
|
||||
Field.VECTOR.value: [3, 2],
|
||||
Field.METADATA_KEY.value: {},
|
||||
},
|
||||
"_score": 0.8,
|
||||
},
|
||||
]
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def setup_client_mock(request, monkeypatch: MonkeyPatch):
|
||||
if MOCK:
|
||||
monkeypatch.setattr(Elasticsearch, "__init__", MockClient.__init__)
|
||||
monkeypatch.setattr(Elasticsearch, "index", MockClient.index)
|
||||
monkeypatch.setattr(Elasticsearch, "exists", MockClient.exists)
|
||||
monkeypatch.setattr(Elasticsearch, "delete", MockClient.delete)
|
||||
monkeypatch.setattr(Elasticsearch, "search", MockClient.search)
|
||||
|
||||
yield
|
||||
|
||||
if MOCK:
|
||||
monkeypatch.undo()
|
||||
@ -0,0 +1,28 @@
|
||||
from core.rag.datasource.vdb.huawei.huawei_cloud_vector import HuaweiCloudVector, HuaweiCloudVectorConfig
|
||||
from tests.integration_tests.vdb.__mock.huaweicloudvectordb import setup_client_mock
|
||||
from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis
|
||||
|
||||
|
||||
class HuaweiCloudVectorTest(AbstractVectorTest):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.vector = HuaweiCloudVector(
|
||||
"dify",
|
||||
HuaweiCloudVectorConfig(
|
||||
hosts="https://127.0.0.1:9200",
|
||||
username="dify",
|
||||
password="dify",
|
||||
),
|
||||
)
|
||||
|
||||
def search_by_vector(self):
|
||||
hits_by_vector = self.vector.search_by_vector(query_vector=self.example_embedding)
|
||||
assert len(hits_by_vector) == 3
|
||||
|
||||
def search_by_full_text(self):
|
||||
hits_by_full_text = self.vector.search_by_full_text(query=get_example_text())
|
||||
assert len(hits_by_full_text) == 3
|
||||
|
||||
|
||||
def test_huawei_cloud_vector(setup_mock_redis, setup_client_mock):
|
||||
HuaweiCloudVectorTest().run_all_tests()
|
||||
@ -0,0 +1,27 @@
|
||||
from core.model_runtime.entities.message_entities import (
|
||||
ImagePromptMessageContent,
|
||||
TextPromptMessageContent,
|
||||
UserPromptMessage,
|
||||
)
|
||||
|
||||
|
||||
def test_build_prompt_message_with_prompt_message_contents():
|
||||
prompt = UserPromptMessage(content=[TextPromptMessageContent(data="Hello, World!")])
|
||||
assert isinstance(prompt.content, list)
|
||||
assert isinstance(prompt.content[0], TextPromptMessageContent)
|
||||
assert prompt.content[0].data == "Hello, World!"
|
||||
|
||||
|
||||
def test_dump_prompt_message():
|
||||
example_url = "https://example.com/image.jpg"
|
||||
prompt = UserPromptMessage(
|
||||
content=[
|
||||
ImagePromptMessageContent(
|
||||
url=example_url,
|
||||
format="jpeg",
|
||||
mime_type="image/jpeg",
|
||||
)
|
||||
]
|
||||
)
|
||||
data = prompt.model_dump()
|
||||
assert data["content"][0].get("url") == example_url
|
||||
@ -0,0 +1 @@
|
||||
/vendor
|
||||
@ -0,0 +1,9 @@
|
||||
{
|
||||
"require": {
|
||||
"php": ">=7.2",
|
||||
"guzzlehttp/guzzle": "^7.9"
|
||||
},
|
||||
"autoload": {
|
||||
"files": ["dify-client.php"]
|
||||
}
|
||||
}
|
||||
@ -0,0 +1,663 @@
|
||||
{
|
||||
"_readme": [
|
||||
"This file locks the dependencies of your project to a known state",
|
||||
"Read more about it at https://getcomposer.org/doc/01-basic-usage.md#installing-dependencies",
|
||||
"This file is @generated automatically"
|
||||
],
|
||||
"content-hash": "7827c548fdcc7e87cb0ae341dd2c6b1b",
|
||||
"packages": [
|
||||
{
|
||||
"name": "guzzlehttp/guzzle",
|
||||
"version": "7.9.2",
|
||||
"source": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/guzzle/guzzle.git",
|
||||
"reference": "d281ed313b989f213357e3be1a179f02196ac99b"
|
||||
},
|
||||
"dist": {
|
||||
"type": "zip",
|
||||
"url": "https://api.github.com/repos/guzzle/guzzle/zipball/d281ed313b989f213357e3be1a179f02196ac99b",
|
||||
"reference": "d281ed313b989f213357e3be1a179f02196ac99b",
|
||||
"shasum": "",
|
||||
"mirrors": [
|
||||
{
|
||||
"url": "https://mirrors.aliyun.com/composer/dists/%package%/%reference%.%type%",
|
||||
"preferred": true
|
||||
}
|
||||
]
|
||||
},
|
||||
"require": {
|
||||
"ext-json": "*",
|
||||
"guzzlehttp/promises": "^1.5.3 || ^2.0.3",
|
||||
"guzzlehttp/psr7": "^2.7.0",
|
||||
"php": "^7.2.5 || ^8.0",
|
||||
"psr/http-client": "^1.0",
|
||||
"symfony/deprecation-contracts": "^2.2 || ^3.0"
|
||||
},
|
||||
"provide": {
|
||||
"psr/http-client-implementation": "1.0"
|
||||
},
|
||||
"require-dev": {
|
||||
"bamarni/composer-bin-plugin": "^1.8.2",
|
||||
"ext-curl": "*",
|
||||
"guzzle/client-integration-tests": "3.0.2",
|
||||
"php-http/message-factory": "^1.1",
|
||||
"phpunit/phpunit": "^8.5.39 || ^9.6.20",
|
||||
"psr/log": "^1.1 || ^2.0 || ^3.0"
|
||||
},
|
||||
"suggest": {
|
||||
"ext-curl": "Required for CURL handler support",
|
||||
"ext-intl": "Required for Internationalized Domain Name (IDN) support",
|
||||
"psr/log": "Required for using the Log middleware"
|
||||
},
|
||||
"type": "library",
|
||||
"extra": {
|
||||
"bamarni-bin": {
|
||||
"bin-links": true,
|
||||
"forward-command": false
|
||||
}
|
||||
},
|
||||
"autoload": {
|
||||
"files": [
|
||||
"src/functions_include.php"
|
||||
],
|
||||
"psr-4": {
|
||||
"GuzzleHttp\\": "src/"
|
||||
}
|
||||
},
|
||||
"notification-url": "https://packagist.org/downloads/",
|
||||
"license": [
|
||||
"MIT"
|
||||
],
|
||||
"authors": [
|
||||
{
|
||||
"name": "Graham Campbell",
|
||||
"email": "hello@gjcampbell.co.uk",
|
||||
"homepage": "https://github.com/GrahamCampbell"
|
||||
},
|
||||
{
|
||||
"name": "Michael Dowling",
|
||||
"email": "mtdowling@gmail.com",
|
||||
"homepage": "https://github.com/mtdowling"
|
||||
},
|
||||
{
|
||||
"name": "Jeremy Lindblom",
|
||||
"email": "jeremeamia@gmail.com",
|
||||
"homepage": "https://github.com/jeremeamia"
|
||||
},
|
||||
{
|
||||
"name": "George Mponos",
|
||||
"email": "gmponos@gmail.com",
|
||||
"homepage": "https://github.com/gmponos"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Nyholm",
|
||||
"email": "tobias.nyholm@gmail.com",
|
||||
"homepage": "https://github.com/Nyholm"
|
||||
},
|
||||
{
|
||||
"name": "Márk Sági-Kazár",
|
||||
"email": "mark.sagikazar@gmail.com",
|
||||
"homepage": "https://github.com/sagikazarmark"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Schultze",
|
||||
"email": "webmaster@tubo-world.de",
|
||||
"homepage": "https://github.com/Tobion"
|
||||
}
|
||||
],
|
||||
"description": "Guzzle is a PHP HTTP client library",
|
||||
"keywords": [
|
||||
"client",
|
||||
"curl",
|
||||
"framework",
|
||||
"http",
|
||||
"http client",
|
||||
"psr-18",
|
||||
"psr-7",
|
||||
"rest",
|
||||
"web service"
|
||||
],
|
||||
"support": {
|
||||
"issues": "https://github.com/guzzle/guzzle/issues",
|
||||
"source": "https://github.com/guzzle/guzzle/tree/7.9.2"
|
||||
},
|
||||
"funding": [
|
||||
{
|
||||
"url": "https://github.com/GrahamCampbell",
|
||||
"type": "github"
|
||||
},
|
||||
{
|
||||
"url": "https://github.com/Nyholm",
|
||||
"type": "github"
|
||||
},
|
||||
{
|
||||
"url": "https://tidelift.com/funding/github/packagist/guzzlehttp/guzzle",
|
||||
"type": "tidelift"
|
||||
}
|
||||
],
|
||||
"time": "2024-07-24T11:22:20+00:00"
|
||||
},
|
||||
{
|
||||
"name": "guzzlehttp/promises",
|
||||
"version": "2.2.0",
|
||||
"source": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/guzzle/promises.git",
|
||||
"reference": "7c69f28996b0a6920945dd20b3857e499d9ca96c"
|
||||
},
|
||||
"dist": {
|
||||
"type": "zip",
|
||||
"url": "https://api.github.com/repos/guzzle/promises/zipball/7c69f28996b0a6920945dd20b3857e499d9ca96c",
|
||||
"reference": "7c69f28996b0a6920945dd20b3857e499d9ca96c",
|
||||
"shasum": "",
|
||||
"mirrors": [
|
||||
{
|
||||
"url": "https://mirrors.aliyun.com/composer/dists/%package%/%reference%.%type%",
|
||||
"preferred": true
|
||||
}
|
||||
]
|
||||
},
|
||||
"require": {
|
||||
"php": "^7.2.5 || ^8.0"
|
||||
},
|
||||
"require-dev": {
|
||||
"bamarni/composer-bin-plugin": "^1.8.2",
|
||||
"phpunit/phpunit": "^8.5.39 || ^9.6.20"
|
||||
},
|
||||
"type": "library",
|
||||
"extra": {
|
||||
"bamarni-bin": {
|
||||
"bin-links": true,
|
||||
"forward-command": false
|
||||
}
|
||||
},
|
||||
"autoload": {
|
||||
"psr-4": {
|
||||
"GuzzleHttp\\Promise\\": "src/"
|
||||
}
|
||||
},
|
||||
"notification-url": "https://packagist.org/downloads/",
|
||||
"license": [
|
||||
"MIT"
|
||||
],
|
||||
"authors": [
|
||||
{
|
||||
"name": "Graham Campbell",
|
||||
"email": "hello@gjcampbell.co.uk",
|
||||
"homepage": "https://github.com/GrahamCampbell"
|
||||
},
|
||||
{
|
||||
"name": "Michael Dowling",
|
||||
"email": "mtdowling@gmail.com",
|
||||
"homepage": "https://github.com/mtdowling"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Nyholm",
|
||||
"email": "tobias.nyholm@gmail.com",
|
||||
"homepage": "https://github.com/Nyholm"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Schultze",
|
||||
"email": "webmaster@tubo-world.de",
|
||||
"homepage": "https://github.com/Tobion"
|
||||
}
|
||||
],
|
||||
"description": "Guzzle promises library",
|
||||
"keywords": [
|
||||
"promise"
|
||||
],
|
||||
"support": {
|
||||
"issues": "https://github.com/guzzle/promises/issues",
|
||||
"source": "https://github.com/guzzle/promises/tree/2.2.0"
|
||||
},
|
||||
"funding": [
|
||||
{
|
||||
"url": "https://github.com/GrahamCampbell",
|
||||
"type": "github"
|
||||
},
|
||||
{
|
||||
"url": "https://github.com/Nyholm",
|
||||
"type": "github"
|
||||
},
|
||||
{
|
||||
"url": "https://tidelift.com/funding/github/packagist/guzzlehttp/promises",
|
||||
"type": "tidelift"
|
||||
}
|
||||
],
|
||||
"time": "2025-03-27T13:27:01+00:00"
|
||||
},
|
||||
{
|
||||
"name": "guzzlehttp/psr7",
|
||||
"version": "2.7.1",
|
||||
"source": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/guzzle/psr7.git",
|
||||
"reference": "c2270caaabe631b3b44c85f99e5a04bbb8060d16"
|
||||
},
|
||||
"dist": {
|
||||
"type": "zip",
|
||||
"url": "https://api.github.com/repos/guzzle/psr7/zipball/c2270caaabe631b3b44c85f99e5a04bbb8060d16",
|
||||
"reference": "c2270caaabe631b3b44c85f99e5a04bbb8060d16",
|
||||
"shasum": "",
|
||||
"mirrors": [
|
||||
{
|
||||
"url": "https://mirrors.aliyun.com/composer/dists/%package%/%reference%.%type%",
|
||||
"preferred": true
|
||||
}
|
||||
]
|
||||
},
|
||||
"require": {
|
||||
"php": "^7.2.5 || ^8.0",
|
||||
"psr/http-factory": "^1.0",
|
||||
"psr/http-message": "^1.1 || ^2.0",
|
||||
"ralouphie/getallheaders": "^3.0"
|
||||
},
|
||||
"provide": {
|
||||
"psr/http-factory-implementation": "1.0",
|
||||
"psr/http-message-implementation": "1.0"
|
||||
},
|
||||
"require-dev": {
|
||||
"bamarni/composer-bin-plugin": "^1.8.2",
|
||||
"http-interop/http-factory-tests": "0.9.0",
|
||||
"phpunit/phpunit": "^8.5.39 || ^9.6.20"
|
||||
},
|
||||
"suggest": {
|
||||
"laminas/laminas-httphandlerrunner": "Emit PSR-7 responses"
|
||||
},
|
||||
"type": "library",
|
||||
"extra": {
|
||||
"bamarni-bin": {
|
||||
"bin-links": true,
|
||||
"forward-command": false
|
||||
}
|
||||
},
|
||||
"autoload": {
|
||||
"psr-4": {
|
||||
"GuzzleHttp\\Psr7\\": "src/"
|
||||
}
|
||||
},
|
||||
"notification-url": "https://packagist.org/downloads/",
|
||||
"license": [
|
||||
"MIT"
|
||||
],
|
||||
"authors": [
|
||||
{
|
||||
"name": "Graham Campbell",
|
||||
"email": "hello@gjcampbell.co.uk",
|
||||
"homepage": "https://github.com/GrahamCampbell"
|
||||
},
|
||||
{
|
||||
"name": "Michael Dowling",
|
||||
"email": "mtdowling@gmail.com",
|
||||
"homepage": "https://github.com/mtdowling"
|
||||
},
|
||||
{
|
||||
"name": "George Mponos",
|
||||
"email": "gmponos@gmail.com",
|
||||
"homepage": "https://github.com/gmponos"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Nyholm",
|
||||
"email": "tobias.nyholm@gmail.com",
|
||||
"homepage": "https://github.com/Nyholm"
|
||||
},
|
||||
{
|
||||
"name": "Márk Sági-Kazár",
|
||||
"email": "mark.sagikazar@gmail.com",
|
||||
"homepage": "https://github.com/sagikazarmark"
|
||||
},
|
||||
{
|
||||
"name": "Tobias Schultze",
|
||||
"email": "webmaster@tubo-world.de",
|
||||
"homepage": "https://github.com/Tobion"
|
||||
},
|
||||
{
|
||||
"name": "Márk Sági-Kazár",
|
||||
"email": "mark.sagikazar@gmail.com",
|
||||
"homepage": "https://sagikazarmark.hu"
|
||||
}
|
||||
],
|
||||
"description": "PSR-7 message implementation that also provides common utility methods",
|
||||
"keywords": [
|
||||
"http",
|
||||
"message",
|
||||
"psr-7",
|
||||
"request",
|
||||
"response",
|
||||
"stream",
|
||||
"uri",
|
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}
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Reference in New Issue