mirror of
https://github.com/trustgraph-ai/trustgraph.git
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4fb0b4d8e8
Remove Pulsar-specific concepts from application code so that the pub/sub backend is swappable via configuration. Rename translators: - to_pulsar/from_pulsar → decode/encode across all translator classes, dispatch handlers, and tests (55+ files) - from_response_with_completion → encode_with_completion - Remove pulsar.schema.Record from translator base class Queue naming (CLASS:TOPICSPACE:TOPIC): - Replace topic() helper with queue() using new format: flow:tg:name, request:tg:name, response:tg:name, state:tg:name - Queue class implies persistence/TTL (no QoS in names) - Update Pulsar backend map_topic() to parse new format - Librarian queues use flow class (persistent, for chunking) - Config push uses state class (persistent, last-value) - Remove 15 dead topic imports from schema files - Update init_trustgraph.py namespace: config → state Confine Pulsar to pulsar_backend.py: - Delete legacy PulsarClient class from pubsub.py - Move add_args to add_pubsub_args() with standalone flag for CLI tools (defaults to localhost) - PulsarBackendConsumer.receive() catches _pulsar.Timeout, raises standard TimeoutError - Remove Pulsar imports from: async_processor, flow_processor, log_level, all 11 client files, 4 storage writers, gateway service, gateway config receiver - Remove log_level/LoggerLevel from client API - Rewrite tg-monitor-prompts to use backend abstraction - Update tg-dump-queues to use add_pubsub_args Also: pubsub-abstraction.md tech spec covering problem statement, design goals, as-is requirements, candidate broker assessment, approach, and implementation order.
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import json
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from typing import Dict, Any, Tuple
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from ...schema import ToolRequest, ToolResponse
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from .base import MessageTranslator
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class ToolRequestTranslator(MessageTranslator):
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"""Translator for ToolRequest schema objects"""
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def decode(self, data: Dict[str, Any]) -> ToolRequest:
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# Handle both "name" and "parameters" input keys
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name = data.get("name", "")
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if "parameters" in data:
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parameters = json.dumps(data["parameters"])
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else:
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parameters = None
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return ToolRequest(
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name = name,
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parameters = parameters,
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)
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def encode(self, obj: ToolRequest) -> Dict[str, Any]:
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result = {}
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if obj.name:
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result["name"] = obj.name
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if obj.parameters is not None:
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result["parameters"] = json.loads(obj.parameters)
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return result
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class ToolResponseTranslator(MessageTranslator):
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"""Translator for ToolResponse schema objects"""
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def decode(self, data: Dict[str, Any]) -> ToolResponse:
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raise NotImplementedError("Response translation to Pulsar not typically needed")
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def encode(self, obj: ToolResponse) -> Dict[str, Any]:
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result = {}
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if obj.text:
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result["text"] = obj.text
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if obj.object:
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result["object"] = json.loads(obj.object)
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return result
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def encode_with_completion(self, obj: ToolResponse) -> Tuple[Dict[str, Any], bool]:
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"""Returns (response_dict, is_final)"""
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return self.encode(obj), True
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