fix: Rename AgentQL components and add prompt parameter (#6834)
* renamed components * add prompt parameter * [autofix.ci] apply automated fixes * prevent both query and prompt * ruff checks * [autofix.ci] apply automated fixes * amend conditional check * change error message * update templates * [autofix.ci] apply automated fixes * fix tags * fix tags in news aggregator --------- Co-authored-by: huwenjie912 <huwenjie912@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
This commit is contained in:
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GitHub
parent
174468a281
commit
2c0133d324
3 changed files with 178 additions and 132 deletions
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@ -14,8 +14,8 @@ from langflow.schema import Data
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class AgentQL(Component):
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display_name = "AgentQL Query Data"
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description = "Uses AgentQL API to extract structured data from a given URL."
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display_name = "Extract Web Data"
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description = "Extracts structured data from a web page using an AgentQL query or a Natural Language description."
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documentation: str = "https://docs.agentql.com/rest-api/api-reference"
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icon = "AgentQL"
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name = "AgentQL"
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@ -23,23 +23,30 @@ class AgentQL(Component):
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inputs = [
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SecretStrInput(
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name="api_key",
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display_name="AgentQL API Key",
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display_name="API Key",
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required=True,
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password=True,
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info="Your AgentQL API key. Get one at https://dev.agentql.com.",
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info="Your AgentQL API key from dev.agentql.com",
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),
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MessageTextInput(
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name="url",
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display_name="URL",
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required=True,
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info="The public URL of the webpage to extract data from.",
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info="The URL of the public web page you want to extract data from.",
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tool_mode=True,
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),
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MultilineInput(
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name="query",
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display_name="AgentQL Query",
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required=True,
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info="The AgentQL query to execute. Read more at https://docs.agentql.com/agentql-query.",
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required=False,
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info="The AgentQL query to execute. Learn more at https://docs.agentql.com/agentql-query or use a prompt.",
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tool_mode=True,
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),
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MultilineInput(
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name="prompt",
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display_name="Prompt",
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required=False,
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info="A Natural Language description of the data to extract from the page. Alternative to AgentQL query.",
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tool_mode=True,
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),
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IntInput(
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@ -79,9 +86,17 @@ class AgentQL(Component):
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payload = {
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"url": self.url,
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"query": self.query,
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"prompt": self.prompt,
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"params": self.params,
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}
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if not self.prompt and not self.query:
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self.status = "Either Query or Prompt must be provided."
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raise ValueError(self.status)
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if self.prompt and self.query:
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self.status = "Both Query and Prompt can't be provided at the same time."
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raise ValueError(self.status)
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try:
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response = httpx.post(endpoint, headers=headers, json=payload, timeout=self.timeout)
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response.raise_for_status()
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@ -23,40 +23,12 @@
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}
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},
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"id": "reactflow__edge-AgentQL-XIw0m{œdataTypeœ:œAgentQLœ,œidœ:œAgentQL-XIw0mœ,œnameœ:œcomponent_as_toolœ,œoutput_typesœ:[œToolœ]}-Agent-O1xzr{œfieldNameœ:œtoolsœ,œidœ:œAgent-O1xzrœ,œinputTypesœ:[œToolœ],œtypeœ:œotherœ}",
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"selected": false,
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"source": "AgentQL-XIw0m",
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"sourceHandle": "{œdataTypeœ: œAgentQLœ, œidœ: œAgentQL-XIw0mœ, œnameœ: œcomponent_as_toolœ, œoutput_typesœ: [œToolœ]}",
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"target": "Agent-O1xzr",
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"targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œAgent-O1xzrœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}"
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},
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{
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"animated": false,
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"className": "",
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"data": {
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"sourceHandle": {
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"dataType": "Agent",
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"id": "Agent-O1xzr",
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"name": "response",
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"output_types": [
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"Message"
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]
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},
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"targetHandle": {
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"fieldName": "input_value",
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"id": "ChatOutput-QiEpu",
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"inputTypes": [
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"Data",
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"DataFrame",
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"Message"
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],
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"type": "str"
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}
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},
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"id": "reactflow__edge-Agent-O1xzr{œdataTypeœ:œAgentœ,œidœ:œAgent-O1xzrœ,œnameœ:œresponseœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-QiEpu{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-QiEpuœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œstrœ}",
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"source": "Agent-O1xzr",
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"sourceHandle": "{œdataTypeœ: œAgentœ, œidœ: œAgent-O1xzrœ, œnameœ: œresponseœ, œoutput_typesœ: [œMessageœ]}",
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"target": "ChatOutput-QiEpu",
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"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-QiEpuœ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œstrœ}"
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},
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{
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"animated": false,
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"className": "",
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@ -79,6 +51,7 @@
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}
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},
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"id": "reactflow__edge-ChatInput-KdiYi{œdataTypeœ:œChatInputœ,œidœ:œChatInput-KdiYiœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Agent-O1xzr{œfieldNameœ:œinput_valueœ,œidœ:œAgent-O1xzrœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
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"selected": false,
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"source": "ChatInput-KdiYi",
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"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-KdiYiœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
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"target": "Agent-O1xzr",
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@ -151,14 +124,15 @@
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"beta": false,
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Uses AgentQL API to extract structured data from a given URL.",
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"display_name": "AgentQL Query Data",
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"description": "Extracts structured data from a web page using an AgentQL query or a Natural Language description.",
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"display_name": "Extract Web Data",
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"documentation": "https://docs.agentql.com/rest-api/api-reference",
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"edited": false,
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"field_order": [
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"api_key",
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"url",
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"query",
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"prompt",
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"timeout",
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"params"
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],
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@ -191,13 +165,13 @@
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"api_key": {
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"_input_type": "SecretStrInput",
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"advanced": false,
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"display_name": "AgentQL API Key",
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"display_name": "API Key",
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"dynamic": false,
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"info": "Your AgentQL API key. Get one at https://dev.agentql.com.",
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"info": "Your AgentQL API key from dev.agentql.com",
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"input_types": [
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"Message"
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],
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"load_from_db": false,
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"load_from_db": true,
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"name": "api_key",
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"password": true,
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"placeholder": "",
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@ -223,7 +197,7 @@
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"show": true,
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"title_case": false,
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"type": "code",
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"value": "import httpx\nfrom loguru import logger\n\nfrom langflow.custom import Component\nfrom langflow.io import (\n DictInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n SecretStrInput,\n)\nfrom langflow.schema import Data\n\n\nclass AgentQL(Component):\n display_name = \"AgentQL Query Data\"\n description = \"Uses AgentQL API to extract structured data from a given URL.\"\n documentation: str = \"https://docs.agentql.com/rest-api/api-reference\"\n icon = \"AgentQL\"\n name = \"AgentQL\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"AgentQL API Key\",\n required=True,\n password=True,\n info=\"Your AgentQL API key. Get one at https://dev.agentql.com.\",\n ),\n MessageTextInput(\n name=\"url\",\n display_name=\"URL\",\n required=True,\n info=\"The public URL of the webpage to extract data from.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"query\",\n display_name=\"AgentQL Query\",\n required=True,\n info=\"The AgentQL query to execute. Read more at https://docs.agentql.com/agentql-query.\",\n tool_mode=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n info=\"Timeout in seconds for the request. Increase if data extraction takes too long.\",\n value=900,\n advanced=True,\n ),\n DictInput(\n name=\"params\",\n display_name=\"Additional Params\",\n info=\"The additional params to send with the request. For details refer to https://docs.agentql.com/rest-api/api-reference#request-body.\",\n is_list=True,\n value={\n \"mode\": \"fast\",\n \"wait_for\": 0,\n \"is_scroll_to_bottom_enabled\": False,\n \"is_screenshot_enabled\": False,\n },\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Data:\n endpoint = \"https://api.agentql.com/v1/query-data\"\n headers = {\n \"X-API-Key\": self.api_key,\n \"Content-Type\": \"application/json\",\n \"X-TF-Request-Origin\": \"langflow\",\n }\n\n payload = {\n \"url\": self.url,\n \"query\": self.query,\n \"params\": self.params,\n }\n\n try:\n response = httpx.post(endpoint, headers=headers, json=payload, timeout=self.timeout)\n response.raise_for_status()\n\n json = response.json()\n data = Data(result=json[\"data\"], metadata=json[\"metadata\"])\n\n except httpx.HTTPStatusError as e:\n response = e.response\n if response.status_code in {401, 403}:\n self.status = \"Please, provide a valid API Key. You can create one at https://dev.agentql.com.\"\n else:\n try:\n error_json = response.json()\n logger.error(\n f\"Failure response: '{response.status_code} {response.reason_phrase}' with body: {error_json}\"\n )\n msg = error_json[\"error_info\"] if \"error_info\" in error_json else error_json[\"detail\"]\n except (ValueError, TypeError):\n msg = f\"HTTP {e}.\"\n self.status = msg\n raise ValueError(self.status) from e\n\n else:\n self.status = data\n return data\n"
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"value": "import httpx\nfrom loguru import logger\n\nfrom langflow.custom import Component\nfrom langflow.io import (\n DictInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n SecretStrInput,\n)\nfrom langflow.schema import Data\n\n\nclass AgentQL(Component):\n display_name = \"Extract Web Data\"\n description = \"Extracts structured data from a web page using an AgentQL query or a Natural Language description.\"\n documentation: str = \"https://docs.agentql.com/rest-api/api-reference\"\n icon = \"AgentQL\"\n name = \"AgentQL\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"API Key\",\n required=True,\n password=True,\n info=\"Your AgentQL API key from dev.agentql.com\",\n ),\n MessageTextInput(\n name=\"url\",\n display_name=\"URL\",\n required=True,\n info=\"The URL of the public web page you want to extract data from.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"query\",\n display_name=\"AgentQL Query\",\n required=False,\n info=\"The AgentQL query to execute. Learn more at https://docs.agentql.com/agentql-query or use a prompt.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"prompt\",\n display_name=\"Prompt\",\n required=False,\n info=\"A Natural Language description of the data to extract from the page. Alternative to AgentQL query.\",\n tool_mode=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n info=\"Timeout in seconds for the request. Increase if data extraction takes too long.\",\n value=900,\n advanced=True,\n ),\n DictInput(\n name=\"params\",\n display_name=\"Additional Params\",\n info=\"The additional params to send with the request. For details refer to https://docs.agentql.com/rest-api/api-reference#request-body.\",\n is_list=True,\n value={\n \"mode\": \"fast\",\n \"wait_for\": 0,\n \"is_scroll_to_bottom_enabled\": False,\n \"is_screenshot_enabled\": False,\n },\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Data:\n endpoint = \"https://api.agentql.com/v1/query-data\"\n headers = {\n \"X-API-Key\": self.api_key,\n \"Content-Type\": \"application/json\",\n \"X-TF-Request-Origin\": \"langflow\",\n }\n\n payload = {\n \"url\": self.url,\n \"query\": self.query,\n \"prompt\": self.prompt,\n \"params\": self.params,\n }\n\n if not self.prompt and not self.query:\n self.status = \"Either Query or Prompt must be provided.\"\n raise ValueError(self.status)\n if self.prompt and self.query:\n self.status = \"Both Query and Prompt can't be provided at the same time.\"\n raise ValueError(self.status)\n\n try:\n response = httpx.post(endpoint, headers=headers, json=payload, timeout=self.timeout)\n response.raise_for_status()\n\n json = response.json()\n data = Data(result=json[\"data\"], metadata=json[\"metadata\"])\n\n except httpx.HTTPStatusError as e:\n response = e.response\n if response.status_code in {401, 403}:\n self.status = \"Please, provide a valid API Key. You can create one at https://dev.agentql.com.\"\n else:\n try:\n error_json = response.json()\n logger.error(\n f\"Failure response: '{response.status_code} {response.reason_phrase}' with body: {error_json}\"\n )\n msg = error_json[\"error_info\"] if \"error_info\" in error_json else error_json[\"detail\"]\n except (ValueError, TypeError):\n msg = f\"HTTP {e}.\"\n self.status = msg\n raise ValueError(self.status) from e\n\n else:\n self.status = data\n return data\n"
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},
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"params": {
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"_input_type": "DictInput",
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@ -248,12 +222,36 @@
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"wait_for": 0
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}
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},
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"prompt": {
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"_input_type": "MultilineInput",
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"advanced": false,
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"display_name": "Prompt",
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"dynamic": false,
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"info": "A Natural Language description of the data to extract from the page. Alternative to AgentQL query.",
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"input_types": [
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"Message"
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],
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"multiline": true,
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"name": "prompt",
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": true,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": ""
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},
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"query": {
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"_input_type": "MultilineInput",
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"advanced": false,
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"display_name": "AgentQL Query",
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"dynamic": false,
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"info": "The AgentQL query to execute. Read more at https://docs.agentql.com/agentql-query.",
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"info": "The AgentQL query to execute. Learn more at https://docs.agentql.com/agentql-query or use a prompt.",
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"input_types": [
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"Message"
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],
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@ -263,7 +261,7 @@
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"multiline": true,
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"name": "query",
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"placeholder": "",
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"required": true,
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"required": false,
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"show": true,
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"title_case": false,
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"tool_mode": true,
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@ -373,7 +371,7 @@
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"type": "table",
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"value": [
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{
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"description": "build_output(api_key: Message, query: Message, url: Message) - Uses AgentQL API to extract structured data from a given URL.",
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"description": "build_output(api_key: Message, url: Message) - Extracts structured data from a web page using an AgentQL query or a Natural Language description.",
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"name": "AgentQL-build_output",
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"tags": [
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"AgentQL-build_output"
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@ -386,7 +384,7 @@
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"advanced": false,
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"display_name": "URL",
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"dynamic": false,
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"info": "The public URL of the webpage to extract data from.",
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"info": "The URL of the public web page you want to extract data from.",
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"input_types": [
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"Message"
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],
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@ -413,7 +411,7 @@
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"dragging": false,
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"id": "AgentQL-XIw0m",
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"measured": {
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"height": 499,
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"height": 599,
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"width": 320
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},
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"position": {
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@ -742,7 +740,6 @@
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"Message"
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],
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"beta": false,
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"category": "outputs",
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Display a chat message in the Playground.",
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@ -758,13 +755,12 @@
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"data_template",
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"background_color",
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"chat_icon",
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"text_color"
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"text_color",
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"clean_data"
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],
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"frozen": false,
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"icon": "MessagesSquare",
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"key": "ChatOutput",
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"legacy": false,
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"lf_version": "1.2.0",
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"metadata": {},
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"minimized": true,
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"output_types": [],
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@ -784,7 +780,6 @@
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}
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],
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"pinned": false,
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"score": 0.007568328950209746,
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"template": {
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"_type": "Component",
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"background_color": {
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@ -893,7 +888,7 @@
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"value": "{text}"
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},
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"input_value": {
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"_input_type": "MessageInput",
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"_input_type": "HandleInput",
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"advanced": false,
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"display_name": "Text",
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"dynamic": false,
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@ -905,16 +900,13 @@
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],
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"list": false,
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"list_add_label": "Add More",
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"load_from_db": false,
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"name": "input_value",
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"placeholder": "",
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"required": true,
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"type": "other",
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"value": ""
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},
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"sender": {
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@ -1054,7 +1046,6 @@
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"Message"
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],
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"beta": false,
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"category": "agents",
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Define the agent's instructions, then enter a task to complete using tools.",
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@ -1091,9 +1082,7 @@
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],
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"frozen": false,
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"icon": "bot",
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"key": "Agent",
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"legacy": false,
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"lf_version": "1.2.0",
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"metadata": {},
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"minimized": false,
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"output_types": [],
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@ -1113,7 +1102,6 @@
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}
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],
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"pinned": false,
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"score": 1.1732828199964098e-19,
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"template": {
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"_type": "Component",
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"add_current_date_tool": {
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@ -1179,7 +1167,35 @@
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"SambaNova",
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"Custom"
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],
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"options_metadata": [],
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"options_metadata": [
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{
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"icon": "Amazon"
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},
|
||||
{
|
||||
"icon": "Anthropic"
|
||||
},
|
||||
{
|
||||
"icon": "Azure"
|
||||
},
|
||||
{
|
||||
"icon": "GoogleGenerativeAI"
|
||||
},
|
||||
{
|
||||
"icon": "Groq"
|
||||
},
|
||||
{
|
||||
"icon": "NVIDIA"
|
||||
},
|
||||
{
|
||||
"icon": "OpenAI"
|
||||
},
|
||||
{
|
||||
"icon": "SambaNova"
|
||||
},
|
||||
{
|
||||
"icon": "brain"
|
||||
}
|
||||
],
|
||||
"placeholder": "",
|
||||
"real_time_refresh": true,
|
||||
"required": false,
|
||||
|
|
@ -1598,7 +1614,7 @@
|
|||
"name": "temperature",
|
||||
"placeholder": "",
|
||||
"range_spec": {
|
||||
"max": 2,
|
||||
"max": 1,
|
||||
"min": 0,
|
||||
"step": 0.01,
|
||||
"step_type": "float"
|
||||
|
|
@ -1702,7 +1718,7 @@
|
|||
"dragging": false,
|
||||
"id": "Agent-O1xzr",
|
||||
"measured": {
|
||||
"height": 624,
|
||||
"height": 621,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1740,18 +1756,18 @@
|
|||
}
|
||||
],
|
||||
"viewport": {
|
||||
"x": -185.56277678480728,
|
||||
"y": 98.64473921569584,
|
||||
"zoom": 1.3444274567846564
|
||||
"x": -140.6486665710372,
|
||||
"y": 68.92081829746667,
|
||||
"zoom": 1.0230031993478927
|
||||
}
|
||||
},
|
||||
"description": "Extracts data and information from webpages.",
|
||||
"endpoint_name": null,
|
||||
"icon": "Newspaper",
|
||||
"id": "a5383bea-acb4-44ba-adeb-80c0fcb168b9",
|
||||
"is_component": false,
|
||||
"last_tested_version": "1.2.0",
|
||||
"name": "News Aggregator",
|
||||
"icon": "Newspaper",
|
||||
"tags": [
|
||||
"web-scraping",
|
||||
"agents"
|
||||
|
|
|
|||
|
|
@ -84,36 +84,6 @@
|
|||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-M0lPaœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "Agent-7PMCu",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œAgent-7PMCuœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"animated": false,
|
||||
"className": "",
|
||||
"data": {
|
||||
"sourceHandle": {
|
||||
"dataType": "Agent",
|
||||
"id": "Agent-7PMCu",
|
||||
"name": "response",
|
||||
"output_types": [
|
||||
"Message"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
"id": "ChatOutput-LyZb7",
|
||||
"inputTypes": [
|
||||
"Data",
|
||||
"DataFrame",
|
||||
"Message"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
"id": "reactflow__edge-Agent-7PMCu{œdataTypeœ:œAgentœ,œidœ:œAgent-7PMCuœ,œnameœ:œresponseœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-LyZb7{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-LyZb7œ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "Agent-7PMCu",
|
||||
"sourceHandle": "{œdataTypeœ: œAgentœ, œidœ: œAgent-7PMCuœ, œnameœ: œresponseœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "ChatOutput-LyZb7",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-LyZb7œ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œstrœ}"
|
||||
}
|
||||
],
|
||||
"nodes": [
|
||||
|
|
@ -436,7 +406,6 @@
|
|||
"Message"
|
||||
],
|
||||
"beta": false,
|
||||
"category": "outputs",
|
||||
"conditional_paths": [],
|
||||
"custom_fields": {},
|
||||
"description": "Display a chat message in the Playground.",
|
||||
|
|
@ -452,13 +421,12 @@
|
|||
"data_template",
|
||||
"background_color",
|
||||
"chat_icon",
|
||||
"text_color"
|
||||
"text_color",
|
||||
"clean_data"
|
||||
],
|
||||
"frozen": false,
|
||||
"icon": "MessagesSquare",
|
||||
"key": "ChatOutput",
|
||||
"legacy": false,
|
||||
"lf_version": "1.2.0",
|
||||
"metadata": {},
|
||||
"minimized": true,
|
||||
"output_types": [],
|
||||
|
|
@ -478,7 +446,6 @@
|
|||
}
|
||||
],
|
||||
"pinned": false,
|
||||
"score": 0.00012027401062119145,
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"background_color": {
|
||||
|
|
@ -587,7 +554,7 @@
|
|||
"value": "{text}"
|
||||
},
|
||||
"input_value": {
|
||||
"_input_type": "MessageInput",
|
||||
"_input_type": "HandleInput",
|
||||
"advanced": false,
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
|
|
@ -599,16 +566,13 @@
|
|||
],
|
||||
"list": false,
|
||||
"list_add_label": "Add More",
|
||||
"load_from_db": false,
|
||||
"name": "input_value",
|
||||
"placeholder": "",
|
||||
"required": true,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"tool_mode": false,
|
||||
"trace_as_input": true,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"type": "other",
|
||||
"value": ""
|
||||
},
|
||||
"sender": {
|
||||
|
|
@ -1077,7 +1041,7 @@
|
|||
"dragging": false,
|
||||
"id": "TavilySearchComponent-K4joL",
|
||||
"measured": {
|
||||
"height": 437,
|
||||
"height": 435,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1099,14 +1063,15 @@
|
|||
"beta": false,
|
||||
"conditional_paths": [],
|
||||
"custom_fields": {},
|
||||
"description": "Uses AgentQL API to extract structured data from a given URL.",
|
||||
"display_name": "AgentQL Query Data",
|
||||
"description": "Extracts structured data from a web page using an AgentQL query or a Natural Language description.",
|
||||
"display_name": "Extract Web Data",
|
||||
"documentation": "https://docs.agentql.com/rest-api/api-reference",
|
||||
"edited": false,
|
||||
"field_order": [
|
||||
"api_key",
|
||||
"url",
|
||||
"query",
|
||||
"prompt",
|
||||
"timeout",
|
||||
"params"
|
||||
],
|
||||
|
|
@ -1139,9 +1104,9 @@
|
|||
"api_key": {
|
||||
"_input_type": "SecretStrInput",
|
||||
"advanced": false,
|
||||
"display_name": "AgentQL API Key",
|
||||
"display_name": "API Key",
|
||||
"dynamic": false,
|
||||
"info": "Your AgentQL API key. Get one at https://dev.agentql.com.",
|
||||
"info": "Your AgentQL API key from dev.agentql.com",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
|
|
@ -1171,7 +1136,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "import httpx\nfrom loguru import logger\n\nfrom langflow.custom import Component\nfrom langflow.io import (\n DictInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n SecretStrInput,\n)\nfrom langflow.schema import Data\n\n\nclass AgentQL(Component):\n display_name = \"AgentQL Query Data\"\n description = \"Uses AgentQL API to extract structured data from a given URL.\"\n documentation: str = \"https://docs.agentql.com/rest-api/api-reference\"\n icon = \"AgentQL\"\n name = \"AgentQL\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"AgentQL API Key\",\n required=True,\n password=True,\n info=\"Your AgentQL API key. Get one at https://dev.agentql.com.\",\n ),\n MessageTextInput(\n name=\"url\",\n display_name=\"URL\",\n required=True,\n info=\"The public URL of the webpage to extract data from.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"query\",\n display_name=\"AgentQL Query\",\n required=True,\n info=\"The AgentQL query to execute. Read more at https://docs.agentql.com/agentql-query.\",\n tool_mode=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n info=\"Timeout in seconds for the request. Increase if data extraction takes too long.\",\n value=900,\n advanced=True,\n ),\n DictInput(\n name=\"params\",\n display_name=\"Additional Params\",\n info=\"The additional params to send with the request. For details refer to https://docs.agentql.com/rest-api/api-reference#request-body.\",\n is_list=True,\n value={\n \"mode\": \"fast\",\n \"wait_for\": 0,\n \"is_scroll_to_bottom_enabled\": False,\n \"is_screenshot_enabled\": False,\n },\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Data:\n endpoint = \"https://api.agentql.com/v1/query-data\"\n headers = {\n \"X-API-Key\": self.api_key,\n \"Content-Type\": \"application/json\",\n \"X-TF-Request-Origin\": \"langflow\",\n }\n\n payload = {\n \"url\": self.url,\n \"query\": self.query,\n \"params\": self.params,\n }\n\n try:\n response = httpx.post(endpoint, headers=headers, json=payload, timeout=self.timeout)\n response.raise_for_status()\n\n json = response.json()\n data = Data(result=json[\"data\"], metadata=json[\"metadata\"])\n\n except httpx.HTTPStatusError as e:\n response = e.response\n if response.status_code in {401, 403}:\n self.status = \"Please, provide a valid API Key. You can create one at https://dev.agentql.com.\"\n else:\n try:\n error_json = response.json()\n logger.error(\n f\"Failure response: '{response.status_code} {response.reason_phrase}' with body: {error_json}\"\n )\n msg = error_json[\"error_info\"] if \"error_info\" in error_json else error_json[\"detail\"]\n except (ValueError, TypeError):\n msg = f\"HTTP {e}.\"\n self.status = msg\n raise ValueError(self.status) from e\n\n else:\n self.status = data\n return data\n"
|
||||
"value": "import httpx\nfrom loguru import logger\n\nfrom langflow.custom import Component\nfrom langflow.io import (\n DictInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n Output,\n SecretStrInput,\n)\nfrom langflow.schema import Data\n\n\nclass AgentQL(Component):\n display_name = \"Extract Web Data\"\n description = \"Extracts structured data from a web page using an AgentQL query or a Natural Language description.\"\n documentation: str = \"https://docs.agentql.com/rest-api/api-reference\"\n icon = \"AgentQL\"\n name = \"AgentQL\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"API Key\",\n required=True,\n password=True,\n info=\"Your AgentQL API key from dev.agentql.com\",\n ),\n MessageTextInput(\n name=\"url\",\n display_name=\"URL\",\n required=True,\n info=\"The URL of the public web page you want to extract data from.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"query\",\n display_name=\"AgentQL Query\",\n required=False,\n info=\"The AgentQL query to execute. Learn more at https://docs.agentql.com/agentql-query or use a prompt.\",\n tool_mode=True,\n ),\n MultilineInput(\n name=\"prompt\",\n display_name=\"Prompt\",\n required=False,\n info=\"A Natural Language description of the data to extract from the page. Alternative to AgentQL query.\",\n tool_mode=True,\n ),\n IntInput(\n name=\"timeout\",\n display_name=\"Timeout\",\n info=\"Timeout in seconds for the request. Increase if data extraction takes too long.\",\n value=900,\n advanced=True,\n ),\n DictInput(\n name=\"params\",\n display_name=\"Additional Params\",\n info=\"The additional params to send with the request. For details refer to https://docs.agentql.com/rest-api/api-reference#request-body.\",\n is_list=True,\n value={\n \"mode\": \"fast\",\n \"wait_for\": 0,\n \"is_scroll_to_bottom_enabled\": False,\n \"is_screenshot_enabled\": False,\n },\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Data:\n endpoint = \"https://api.agentql.com/v1/query-data\"\n headers = {\n \"X-API-Key\": self.api_key,\n \"Content-Type\": \"application/json\",\n \"X-TF-Request-Origin\": \"langflow\",\n }\n\n payload = {\n \"url\": self.url,\n \"query\": self.query,\n \"prompt\": self.prompt,\n \"params\": self.params,\n }\n\n if not self.prompt and not self.query:\n self.status = \"Either Query or Prompt must be provided.\"\n raise ValueError(self.status)\n if self.prompt and self.query:\n self.status = \"Both Query and Prompt can't be provided at the same time.\"\n raise ValueError(self.status)\n\n try:\n response = httpx.post(endpoint, headers=headers, json=payload, timeout=self.timeout)\n response.raise_for_status()\n\n json = response.json()\n data = Data(result=json[\"data\"], metadata=json[\"metadata\"])\n\n except httpx.HTTPStatusError as e:\n response = e.response\n if response.status_code in {401, 403}:\n self.status = \"Please, provide a valid API Key. You can create one at https://dev.agentql.com.\"\n else:\n try:\n error_json = response.json()\n logger.error(\n f\"Failure response: '{response.status_code} {response.reason_phrase}' with body: {error_json}\"\n )\n msg = error_json[\"error_info\"] if \"error_info\" in error_json else error_json[\"detail\"]\n except (ValueError, TypeError):\n msg = f\"HTTP {e}.\"\n self.status = msg\n raise ValueError(self.status) from e\n\n else:\n self.status = data\n return data\n"
|
||||
},
|
||||
"params": {
|
||||
"_input_type": "DictInput",
|
||||
|
|
@ -1196,12 +1161,36 @@
|
|||
"wait_for": 0
|
||||
}
|
||||
},
|
||||
"prompt": {
|
||||
"_input_type": "MultilineInput",
|
||||
"advanced": false,
|
||||
"display_name": "Prompt",
|
||||
"dynamic": false,
|
||||
"info": "A Natural Language description of the data to extract from the page. Alternative to AgentQL query.",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
"list": false,
|
||||
"list_add_label": "Add More",
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "prompt",
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"tool_mode": true,
|
||||
"trace_as_input": true,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"query": {
|
||||
"_input_type": "MultilineInput",
|
||||
"advanced": false,
|
||||
"display_name": "AgentQL Query",
|
||||
"dynamic": false,
|
||||
"info": "The AgentQL query to execute. Read more at https://docs.agentql.com/agentql-query.",
|
||||
"info": "The AgentQL query to execute. Learn more at https://docs.agentql.com/agentql-query or use a prompt.",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
|
|
@ -1211,7 +1200,7 @@
|
|||
"multiline": true,
|
||||
"name": "query",
|
||||
"placeholder": "",
|
||||
"required": true,
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"tool_mode": true,
|
||||
|
|
@ -1321,7 +1310,7 @@
|
|||
"type": "table",
|
||||
"value": [
|
||||
{
|
||||
"description": "build_output(api_key: Message, query: Message, url: Message) - Uses AgentQL API to extract structured data from a given URL.",
|
||||
"description": "build_output(api_key: Message, url: Message) - Extracts structured data from a web page using an AgentQL query or a Natural Language description.",
|
||||
"name": "AgentQL-build_output",
|
||||
"tags": [
|
||||
"AgentQL-build_output"
|
||||
|
|
@ -1334,7 +1323,7 @@
|
|||
"advanced": false,
|
||||
"display_name": "URL",
|
||||
"dynamic": false,
|
||||
"info": "The public URL of the webpage to extract data from.",
|
||||
"info": "The URL of the public web page you want to extract data from.",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
|
|
@ -1361,12 +1350,12 @@
|
|||
"dragging": false,
|
||||
"id": "AgentQL-R0YLG",
|
||||
"measured": {
|
||||
"height": 499,
|
||||
"height": 599,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
"x": 329.8776020848543,
|
||||
"y": -114.65601128197832
|
||||
"x": 258.9873392343597,
|
||||
"y": -351.3788533005941
|
||||
},
|
||||
"selected": false,
|
||||
"type": "genericNode"
|
||||
|
|
@ -1379,7 +1368,6 @@
|
|||
"Message"
|
||||
],
|
||||
"beta": false,
|
||||
"category": "agents",
|
||||
"conditional_paths": [],
|
||||
"custom_fields": {},
|
||||
"description": "Define the agent's instructions, then enter a task to complete using tools.",
|
||||
|
|
@ -1396,6 +1384,8 @@
|
|||
"api_key",
|
||||
"temperature",
|
||||
"seed",
|
||||
"max_retries",
|
||||
"timeout",
|
||||
"system_prompt",
|
||||
"tools",
|
||||
"input_value",
|
||||
|
|
@ -1414,9 +1404,7 @@
|
|||
],
|
||||
"frozen": false,
|
||||
"icon": "bot",
|
||||
"key": "Agent",
|
||||
"legacy": false,
|
||||
"lf_version": "1.2.0",
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
|
|
@ -1436,7 +1424,6 @@
|
|||
}
|
||||
],
|
||||
"pinned": false,
|
||||
"score": 1.1732828199964098e-19,
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"add_current_date_tool": {
|
||||
|
|
@ -1502,7 +1489,35 @@
|
|||
"SambaNova",
|
||||
"Custom"
|
||||
],
|
||||
"options_metadata": [],
|
||||
"options_metadata": [
|
||||
{
|
||||
"icon": "Amazon"
|
||||
},
|
||||
{
|
||||
"icon": "Anthropic"
|
||||
},
|
||||
{
|
||||
"icon": "Azure"
|
||||
},
|
||||
{
|
||||
"icon": "GoogleGenerativeAI"
|
||||
},
|
||||
{
|
||||
"icon": "Groq"
|
||||
},
|
||||
{
|
||||
"icon": "NVIDIA"
|
||||
},
|
||||
{
|
||||
"icon": "OpenAI"
|
||||
},
|
||||
{
|
||||
"icon": "SambaNova"
|
||||
},
|
||||
{
|
||||
"icon": "brain"
|
||||
}
|
||||
],
|
||||
"placeholder": "",
|
||||
"real_time_refresh": true,
|
||||
"required": false,
|
||||
|
|
@ -1921,7 +1936,7 @@
|
|||
"name": "temperature",
|
||||
"placeholder": "",
|
||||
"range_spec": {
|
||||
"max": 2,
|
||||
"max": 1,
|
||||
"min": 0,
|
||||
"step": 0.01,
|
||||
"step_type": "float"
|
||||
|
|
@ -2025,7 +2040,7 @@
|
|||
"dragging": false,
|
||||
"id": "Agent-7PMCu",
|
||||
"measured": {
|
||||
"height": 624,
|
||||
"height": 621,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -2146,18 +2161,18 @@
|
|||
}
|
||||
],
|
||||
"viewport": {
|
||||
"x": 636.4185821740807,
|
||||
"y": 225.96076866418508,
|
||||
"zoom": 1.0499010256781385
|
||||
"x": 546.0173634466885,
|
||||
"y": 279.0139837091223,
|
||||
"zoom": 0.671291450402032
|
||||
}
|
||||
},
|
||||
"description": "Searches and compares product prices across multiple e-commerce platforms. ",
|
||||
"endpoint_name": null,
|
||||
"icon": "DollarSign",
|
||||
"id": "675468b8-08ab-44b0-aef1-87d76a75570a",
|
||||
"is_component": false,
|
||||
"last_tested_version": "1.2.0",
|
||||
"name": "Price Deal Finder",
|
||||
"icon": "DollarSign",
|
||||
"tags": [
|
||||
"web-scraping",
|
||||
"agents"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue