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version 1.0.0-rc.14

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leonarski_f
2024-10-07 11:56:40 +02:00
parent 9e21d312b2
commit 3be959f272
217 changed files with 1299 additions and 2429 deletions
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8
python-client/openapi_client/models/detector_settings.py
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@@ -5,7 +5,7 @@
Jungfraujoch Broker Web API
The version of the OpenAPI document: 1.0.0-rc.13
The version of the OpenAPI document: 1.0.0-rc.14
Contact: filip.leonarski@psi.ch
Generated by OpenAPI Generator (https://openapi-generator.tech)
@@ -37,12 +37,12 @@ class DetectorSettings(BaseModel):
pedestal_g1_frames: Annotated[int, Field(strict=True, ge=0)]
pedestal_g2_frames: Annotated[int, Field(strict=True, ge=0)]
pedestal_g0_rms_limit: Annotated[int, Field(strict=True, ge=0)] = Field(description="Pixels with pedestal G0 RMS above the threshold are marked as masked pixels")
pedestal_window_size: Annotated[int, Field(strict=True, ge=32)] = Field(description="Running average window size for pedestal calculations")
pedestal_min_image_count: Annotated[int, Field(strict=True, ge=32)] = Field(description="Minimum number of collected images for pedestal to consider it viable")
storage_cell_delay_ns: Annotated[int, Field(strict=True, ge=2100)] = Field(description="Delay between two storage cells [ns]")
detector_trigger_delay_ns: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=0, description="Delay between TTL trigger and acquisition start [ns]")
fixed_gain_g1: Optional[StrictBool] = Field(default=False, description="Fix gain to G1 (can be useful for storage cells)")
use_gain_hg0: Optional[StrictBool] = Field(default=False, description="Use high G0 (for low energy applications)")
__properties: ClassVar[List[str]] = ["frame_time_us", "count_time_us", "storage_cell_count", "internal_frame_generator", "internal_frame_generator_images", "pedestal_g0_frames", "pedestal_g1_frames", "pedestal_g2_frames", "pedestal_g0_rms_limit", "pedestal_window_size", "storage_cell_delay_ns", "detector_trigger_delay_ns", "fixed_gain_g1", "use_gain_hg0"]
__properties: ClassVar[List[str]] = ["frame_time_us", "count_time_us", "storage_cell_count", "internal_frame_generator", "internal_frame_generator_images", "pedestal_g0_frames", "pedestal_g1_frames", "pedestal_g2_frames", "pedestal_g0_rms_limit", "pedestal_min_image_count", "storage_cell_delay_ns", "detector_trigger_delay_ns", "fixed_gain_g1", "use_gain_hg0"]
model_config = ConfigDict(
populate_by_name=True,
@@ -104,7 +104,7 @@ class DetectorSettings(BaseModel):
"pedestal_g1_frames": obj.get("pedestal_g1_frames") if obj.get("pedestal_g1_frames") is not None else 300,
"pedestal_g2_frames": obj.get("pedestal_g2_frames") if obj.get("pedestal_g2_frames") is not None else 300,
"pedestal_g0_rms_limit": obj.get("pedestal_g0_rms_limit") if obj.get("pedestal_g0_rms_limit") is not None else 100,
"pedestal_window_size": obj.get("pedestal_window_size") if obj.get("pedestal_window_size") is not None else 128,
"pedestal_min_image_count": obj.get("pedestal_min_image_count") if obj.get("pedestal_min_image_count") is not None else 128,
"storage_cell_delay_ns": obj.get("storage_cell_delay_ns") if obj.get("storage_cell_delay_ns") is not None else 5000,
"detector_trigger_delay_ns": obj.get("detector_trigger_delay_ns") if obj.get("detector_trigger_delay_ns") is not None else 0,
"fixed_gain_g1": obj.get("fixed_gain_g1") if obj.get("fixed_gain_g1") is not None else False,