325 lines
12 KiB
Python
325 lines
12 KiB
Python
"""Structured form-input component for kirche-einfach flows.
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A flow that starts with :class:`CustomInputForm` declares the fields of its
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web form. The API reads the exported node template
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(``template`` minus ``code``) and derives ``{json_schema, ui_schema}`` from
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the ``lfx.io`` input definitions below — one JSON-Schema property per field,
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keyed by ``name``. Field metadata maps as follows:
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* ``display_name`` → ``title``, ``info`` → ``description``,
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``value`` → ``default``, ``options`` → ``enum``
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* ``required`` → required array, ``advanced`` → ``ui:collapsed`` hint
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* ``_input_type`` → JSON type + widget (see ``app/flows/input_schema.py``)
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``collect()`` is fully dynamic: it emits every input except the plumbing
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ones (``form_values``, ``code``), so fields can be renamed, added, or
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removed in the Langflow code editor without touching this method.
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``name`` is the stable JSON key (freely renamable, must stay unique and
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non-empty); downstream components read the keys as-is.
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When the run envelope names the asked fields (``fields`` list, sent by
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the API from the version's form schema), defaults are emitted only for
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asked fields — the template may declare fields unknown to this code and
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unasked code defaults stay out of the output. Without the list (raw dict,
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Langflow playground), all declared defaults apply.
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``collect()`` returns ``Data`` (the LFX JSON type), not ``Message``: the
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values travel as a real JSON object. A terminal ``ChatOutput`` renders it
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as a fenced ```json block; components consuming it should read ``.data``
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(or ``get_text()``), not ``.text``.
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``FileInput`` is a stub for now: it carries a string reference only, real
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upload comes later.
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"""
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from __future__ import annotations
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import json
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import re
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from typing import ClassVar
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from lfx.custom import Component
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from lfx.field_typing.range_spec import RangeSpec
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from lfx.io import (
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BoolInput,
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DropdownInput,
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FileInput,
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FloatInput,
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IntInput,
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MessageTextInput,
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MultilineInput,
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MultiselectInput,
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Output,
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SecretStrInput,
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SliderInput,
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StrInput,
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)
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from lfx.schema.data import Data
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def _text(value) -> str:
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if value is None:
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return ""
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if hasattr(value, "text"):
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return value.text or ""
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return str(value)
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def _json_safe(value):
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"""Plain JSON value for one field: unwrap LFX wrappers, keep scalars."""
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if value is None or isinstance(value, (bool, int, float, str)):
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return value
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if isinstance(value, list):
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return [_json_safe(item) for item in value]
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if isinstance(value, dict):
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return {str(key): _json_safe(item) for key, item in value.items()}
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text = getattr(value, "text", None)
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if isinstance(text, str):
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return text
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data = getattr(value, "data", None)
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if isinstance(data, dict):
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return _json_safe(data)
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return str(value)
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def _split_conditions(text: str) -> list:
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parts: list = []
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buf: list = []
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quoted = False
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for char in text:
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if char == '"':
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quoted = not quoted
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buf.append(char)
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elif char == "&" and not quoted:
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parts.append("".join(buf))
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buf = []
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else:
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buf.append(char)
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parts.append("".join(buf))
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return [part.strip() for part in parts if part.strip()]
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def _parse_condition(token: str):
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field, sep, value = token.partition("=")
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field, value = field.strip(), value.strip()
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if not sep or not field or not value:
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return None
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if len(value) >= 2 and value.startswith('"') and value.endswith('"'):
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value = value[1:-1]
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lowered = value.lower()
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if lowered == "true":
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return field, True
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if lowered == "false":
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return field, False
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try:
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return field, int(value)
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except ValueError:
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pass
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try:
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return field, float(value)
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except ValueError:
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pass
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return field, value
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def _field_conditions(info: object) -> list:
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"""``[(trigger, value)]`` from a field's ``info`` markers."""
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conditions: list = []
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def _collect(match) -> str:
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for token in _split_conditions(match.group(1)):
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parsed = _parse_condition(token)
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if parsed is not None:
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conditions.append(parsed)
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return ""
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_VISIBLE_RE.sub(_collect, info if isinstance(info, str) else "")
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return conditions
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#: Reserved input carrying the run envelope — a real runtime input, so it
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#: must stay out of the output (otherwise the whole envelope JSON would
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#: leak in as a field value on every path without an asked-fields list).
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#: Never name a form field ``form_values``.
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PLUMBING_INPUTS = frozenset({"form_values"})
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#: ``[visible_if ...]`` marker (same syntax as the backend parser in
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#: ``app/flows/input_schema.py`` — keep the two in sync; this module must
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#: stay import-light for the LFX runtime and cannot import it).
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_VISIBLE_RE = re.compile(r"\[visible_if\s+([^\]]+)\]")
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class CustomInputForm(Component):
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display_name = "CustomInput Form"
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description = "Collects structured form values into a single JSON object."
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icon = "ClipboardList"
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inputs: ClassVar[list] = [
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# Plumbing, not a form field: the API posts submitted web-form
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# values as the run envelope (same {"payload": {...}} shape the
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# other kirche components use); they arrive here through a ChatInput
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# entry node and override the defaults below. Hidden in the GUI and
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# skipped by the form parser (show=False).
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MessageTextInput(
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name="form_values",
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display_name="Form values (JSON envelope)",
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info="Submitted values as JSON; merged over the defaults",
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value="",
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show=False,
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),
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StrInput(
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name="full_name",
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display_name="Full name",
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info="Your first and last name",
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value="",
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required=True,
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),
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MultilineInput(
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name="notes",
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display_name="Notes",
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info="Anything else we should know",
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value="",
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),
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SecretStrInput(
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name="password",
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display_name="Password",
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info="Optional access phrase",
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value="",
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),
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IntInput(
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name="age",
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display_name="Age",
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info="Your age in years",
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value=18,
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),
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FloatInput(
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name="amount",
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display_name="Amount",
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info="Amount in euros",
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value=0.0,
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),
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BoolInput(
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name="newsletter",
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display_name="Newsletter",
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info="Send me the parish newsletter",
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value=False,
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),
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DropdownInput(
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name="department",
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display_name="Department",
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info="Which team is this for",
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options=["Music", "Youth", "Seniors", "Admin"],
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value="Music",
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),
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MultiselectInput(
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name="topics",
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display_name="Topics",
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info="What are you interested in",
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options=["Worship", "Outreach", "Courses"],
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value=[],
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),
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SliderInput(
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name="satisfaction",
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display_name="Satisfaction",
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info="How satisfied are you (1-5)",
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value=3,
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range_spec=RangeSpec(min=1, max=5, step=1),
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),
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FileInput(
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name="attachment",
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display_name="Attachment",
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info="String reference only for now (no upload yet)",
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file_types=["pdf", "png", "jpg"],
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),
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]
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outputs: ClassVar[list] = [
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Output(display_name="Form Data", name="form_data", method="collect"),
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]
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def _field_names(self) -> list:
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"""Names of all form fields (every input except the plumbing ones)."""
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inputs = getattr(self, "_inputs", None)
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if isinstance(inputs, dict) and inputs:
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return [name for name in inputs if name not in PLUMBING_INPUTS]
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seen = []
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declared = getattr(self, "inputs", None) or getattr(type(self), "inputs", None) or []
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for inp in declared:
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name = getattr(inp, "name", None)
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if name and name not in PLUMBING_INPUTS and name not in seen:
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seen.append(name)
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return seen
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def _field_value(self, name: str):
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"""Runtime value of one input.
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Reads ``_inputs`` directly: a field renamed to e.g. ``name`` would
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otherwise resolve to the component attribute instead of its value.
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"""
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inputs = getattr(self, "_inputs", None)
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if isinstance(inputs, dict) and name in inputs:
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return getattr(inputs[name], "value", None)
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try:
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return getattr(self, name, None)
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except (AttributeError, ValueError):
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return None
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def _is_visible(self, name: str, effective: dict) -> bool:
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"""Whether a field's branch conditions hold.
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Single pass over effective values (submitted first, code defaults
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after): no recursion, so trigger cycles cannot hang — a stale or
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cyclic marker simply matches or not. Unknown triggers never match.
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"""
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inputs = getattr(self, "_inputs", None)
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info = ""
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if isinstance(inputs, dict) and name in inputs:
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info = getattr(inputs[name], "info", "") or ""
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for trigger, expected in _field_conditions(info):
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if trigger == name or trigger not in effective:
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# Self-reference or unknown trigger: fail open (visible),
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# mirroring the backend parser.
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continue
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actual = effective[trigger]
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if isinstance(actual, list):
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if expected not in actual:
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return False
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elif actual != expected:
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return False
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return True
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def collect(self) -> Data:
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try:
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envelope = json.loads(_text(self.form_values) or "{}")
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except (json.JSONDecodeError, ValueError, AttributeError):
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envelope = {}
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payload: dict = {}
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asked: list | None = None
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if isinstance(envelope, dict):
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# Asked-field list counts only in true envelope shape
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# ({"payload": {...}, "fields": [...]}); a raw dict or a form
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# field literally named "fields" must not confuse it.
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if isinstance(envelope.get("payload"), dict):
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payload = envelope["payload"]
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fields = envelope.get("fields")
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if isinstance(fields, list) and all(isinstance(item, str) for item in fields):
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asked = [item for item in fields if item]
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else:
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payload = envelope
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# Effective trigger values: submitted first, code defaults after.
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declared = self._field_names()
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effective = {name: _json_safe(self._field_value(name)) for name in declared}
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for key, val in payload.items():
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if isinstance(key, str) and key:
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effective[key] = _json_safe(val)
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# Defaults only for asked AND visible fields (hidden branch fields
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# stay out, like the frontend never submits them); without an asked
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# list, all visible declared fields (Langflow playground).
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scope = [name for name in (asked if asked is not None else declared) if name in declared]
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data = {name: effective[name] for name in scope if self._is_visible(name, effective)}
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# Submitted values win over the field defaults. Unknown keys are
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# kept: the frontend may already know renamed fields this code
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# revision does not declare.
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for key, val in payload.items():
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if isinstance(key, str) and key:
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data[key] = _json_safe(val)
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return Data(data=data)
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