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.
23 lines
761 B
Python
23 lines
761 B
Python
from dataclasses import dataclass, field
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from ..core.primitives import Error
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############################################################################
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# NLP to Structured Query Service - converts natural language to GraphQL
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@dataclass
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class QuestionToStructuredQueryRequest:
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question: str = ""
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max_results: int = 0
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@dataclass
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class QuestionToStructuredQueryResponse:
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error: Error | None = None
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graphql_query: str = "" # Generated GraphQL query
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variables: dict[str, str] = field(default_factory=dict) # GraphQL variables if any
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detected_schemas: list[str] = field(default_factory=list) # Which schemas the query targets
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confidence: float = 0.0
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############################################################################
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