mohamad
733 lines
34 KiB
Python
733 lines
34 KiB
Python
from pathlib import Path
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from django.conf import settings
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from django.core.files import File
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from django.core.management.base import BaseCommand
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from django.db import transaction
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from apps.core.models import SiteBranding, SiteContact
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from apps.pages.models import DownloadItem, FAQEntry, HeroSection, HomepageSection, HomepageSectionItem
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from apps.products.models import Article, ArticleSection, MainProduct, SubProduct
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MAIN_PRODUCTS = [
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{
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"name": "Tecvico",
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"slug": "tecvico",
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"short_description": "Visualized & Standardized Environment for Radiomics Analysis",
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"description": (
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"Tecvico is a free, open-source software specialized for visualization, "
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"processing, segmentation, registration, fusion and analysis of medical and "
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"biomedical images, including radiomics and machine learning analysis. "
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"Tecvico is a major, entirely-revamped upgrade to the original SERA "
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"(Matlab-based), now built on Python for broader accessibility and community "
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"contribution. It enables standardized and reproducible radiomic feature "
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"extraction in compliance with the Image Biomarker Standardization Initiative "
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"(IBSI 1.0), and implements image filters standardized against IBSI 2.0."
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),
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"order": 1,
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"show_on_homepage": True,
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"homepage_order": 1,
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"sub_products": [
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{
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"name": "Image Processing",
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"slug": "image-processing",
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"short_description": "Standardized filtering, registration, and fusion techniques",
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"description": (
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"Advanced image processing capabilities including standardized filtering "
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"techniques compliant with IBSI 2.0, image registration, fusion, and "
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"Standardized Uptake Value (SUV) conversion. Tecvico employs popular "
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"image processing algorithms to create end-to-end standardized workflows "
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"for consistent, reproducible research outcomes."
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),
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"order": 1,
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"articles": [
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{
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"title": "Image Filtering Techniques",
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"description": (
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"Tecvico implements a comprehensive set of image filtering techniques "
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"fully standardized against the Image Biomarker Standardization "
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"Initiative (IBSI) phase 2. These filters enable reproducible "
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"preprocessing across institutions and studies."
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),
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"order": 1,
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"sections": [
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{"title": "Standardization", "value": "IBSI 2.0 compliant", "order": 1},
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{
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"title": "Available Filters",
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"value": "Mean, Gaussian, Laplacian of Gaussian (LoG), Laws kernels, Gabor, Wavelets (PyWavelets), Log-Sigma",
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"order": 2,
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},
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{"title": "Author", "value": "Tecvico R&D Team", "order": 3},
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],
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},
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{
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"title": "Image Registration & Fusion",
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"description": (
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"Tecvico provides robust image registration and fusion methods, "
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"enabling multi-modal image alignment for PET/CT, PET/MRI, and "
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"other combined modality studies. Standardized Uptake Value (SUV) "
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"conversion is also supported."
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),
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"order": 2,
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"sections": [
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{"title": "Registration Methods", "value": "Rigid, Affine, Deformable (B-spline)", "order": 1},
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{"title": "Fusion Techniques", "value": "Overlay, weighted average, multi-modal blending", "order": 2},
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{"title": "Special Feature", "value": "Standardized Uptake Value (SUV) conversion", "order": 3},
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],
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},
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],
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},
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{
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"name": "Radiomics Features",
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"slug": "radiomics-features",
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"short_description": "IBSI 1.0 compliant handcrafted radiomic feature extraction",
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"description": (
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"Tecvico provides comprehensive handcrafted radiomic feature extraction "
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"fully standardized by the Image Biomarker Standardization Initiative "
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"(IBSI 1.0). Features are computed from segmented regions of interest "
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"across multiple image modalities, enabling reproducible quantitative "
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"imaging biomarker research."
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),
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"order": 2,
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"articles": [
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{
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"title": "IBSI Compliant Feature Extraction",
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"description": (
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"Tecvico computes a comprehensive set of radiomic features "
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"covering all IBSI 1.0 feature classes. Features are extracted "
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"from segmented Regions of Interest (ROIs) and are fully "
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"reproducible across different platforms and institutions."
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),
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"order": 1,
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"sections": [
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{"title": "Standardization", "value": "IBSI 1.0 compliant", "order": 1},
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{
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"title": "Feature Classes",
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"value": "Shape (3D & 2D), First-order Statistics, GLCM, GLRLM, GLSZM, GLDM, NGTDM",
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"order": 2,
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},
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{"title": "Output Formats", "value": "CSV, JSON, Excel", "order": 3},
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{"title": "Reference", "value": "Zwanenburg et al. (2020), Radiology", "order": 4},
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],
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},
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],
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},
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{
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"name": "Medical Image Visualization",
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"slug": "medical-image-visualization",
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"short_description": "Professional multi-modality medical image viewer",
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"description": (
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"Tecvico includes a professional medical image viewer that supports "
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"multiple imaging modalities and file formats. The viewer provides "
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"comfortable, intuitive controls for slice navigation, windowing, "
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"zoom, and annotation, suitable for radiation oncologists, radiologists, "
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"physicists, and data scientists."
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),
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"order": 3,
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"articles": [
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{
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"title": "Multi-Modal Image Viewer",
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"description": (
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"The integrated viewer supports simultaneous display of multiple "
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"image modalities with linked cursors, adjustable window/level, "
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"and overlay capabilities. RT struct contours are rendered "
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"directly over the underlying images."
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),
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"order": 1,
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"sections": [
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{"title": "Supported Modalities", "value": "CT, MRI, PET, SPECT, CBCT", "order": 1},
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{"title": "File Formats", "value": "DICOM, NIFTI (.nii, .nii.gz), NRRD, MHA, NII", "order": 2},
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{"title": "Special Support", "value": "RT Struct, RT Dose, RT Plan visualization", "order": 3},
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],
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},
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],
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},
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{
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"name": "Format Conversion",
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"slug": "format-conversion",
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"short_description": "Professional converter for medical imaging file formats",
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"description": (
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"Tecvico provides a professional image format converter supporting all "
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"major medical imaging standards. Seamlessly convert between DICOM, "
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"NIFTI, NRRD, MHA, and other formats without loss of spatial metadata "
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"or patient information integrity."
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),
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"order": 4,
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"articles": [
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{
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"title": "Medical Image Format Converter",
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"description": (
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"The built-in converter handles complex DICOM series reconstruction, "
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"preserving spatial orientation, voxel spacing, and relevant metadata "
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"throughout conversion. Batch conversion is supported for large "
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"research datasets."
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),
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"order": 1,
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"sections": [
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{"title": "Input Formats", "value": "DICOM (all SOP classes), NIFTI, NRRD, NII, MHA, MetaImage", "order": 1},
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{"title": "Output Formats", "value": "NIFTI (.nii.gz), NRRD, MHA, NII", "order": 2},
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{"title": "Batch Processing", "value": "Supported — process entire datasets automatically", "order": 3},
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],
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},
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],
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},
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{
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"name": "Workflow Management",
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"slug": "workflow-management",
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"short_description": "Reproducible research workflow creation and sharing",
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"description": (
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"Tecvico's workflow management system allows researchers to design, save, "
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"share, and reuse analysis pipelines. Workflows connect individual "
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"processing steps — from image loading and preprocessing to feature "
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"extraction and machine learning — into reproducible, shareable sequences "
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"that ensure consistency across studies and institutions."
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),
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"order": 5,
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"articles": [
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{
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"title": "Reproducible Research Workflows",
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"description": (
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"Create end-to-end analysis pipelines by visually connecting "
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"processing nodes. Each workflow can be exported, shared with "
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"collaborators, and re-executed to reproduce results on new datasets."
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),
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"order": 1,
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"sections": [
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{"title": "Key Benefit", "value": "Usability, Reusability and Reproducibility (URR)", "order": 1},
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{"title": "Collaboration", "value": "Share workflows, datasets, and results with research teams", "order": 2},
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{"title": "Compatibility", "value": "Works with all supported image modalities and feature extractors", "order": 3},
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],
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},
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],
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},
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],
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},
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]
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FAQ_ENTRIES = [
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{
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"question": "What is the Tecvico license?",
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"answer": (
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"Tecvico is free and open-source for research purposes.\n\n"
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"License: CC BY-NC-SA (Creative Commons Attribution-NonCommercial-ShareAlike). "
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"This means you may use, share, and adapt the software for non-commercial "
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"research purposes, provided you give appropriate credit and distribute "
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"derivatives under the same license."
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),
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"order": 1,
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},
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{
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"question": "How do I cite Tecvico in my research?",
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"answer": (
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"Please cite the following reference if you publish results obtained with "
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"the help of Tecvico:\n\n"
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"M. R. Salmanpour, I. Shiri, M. Hosseinzadeh, H. Zaidi, S. Ashrafinia, "
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"M. Oveisi, A. Rahmim. Tecvico: Visualized & Standardized Environment for "
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"Radiomics Analysis — A Shareable, Executable, and Reproducible Workflow "
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"Generator. Proc. IEEE Medical Imaging Conference, 2023."
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),
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"order": 2,
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},
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{
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"question": "Which operating systems does Tecvico support?",
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"answer": (
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"Tecvico currently fully supports Windows 10 and above (64-bit). "
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"New versions to support macOS and Linux systems are under active development "
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"and coming soon. Follow our Discord or check each product module page for updates."
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),
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"order": 3,
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},
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{
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"question": "Can I install a new version over an existing installation?",
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"answer": (
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"Yes, you can install the new version without removing the previous one. "
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"However, if you encounter any problems after upgrading, we recommend "
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"uninstalling the old version first, then performing a clean installation "
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"of the new release."
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),
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"order": 4,
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},
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{
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"question": "Is Tecvico suitable for clinical use?",
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"answer": (
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"Tecvico is designed and intended exclusively for research purposes. "
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"It is not certified for clinical diagnostic use. Always consult with "
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"qualified medical professionals for clinical decisions."
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),
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"order": 5,
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},
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{
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"question": "Where can I get support or report issues?",
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"answer": (
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"Support is available via email and through our community Discord server "
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"(see the Contact page for current details). For bug reports and feature "
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"requests, please use the Discord forum or contact us directly by email."
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),
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"order": 6,
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},
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]
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HOMEPAGE_SECTIONS = [
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{
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"section_type": HomepageSection.TYPE_FEATURES,
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"badge": "Capabilities",
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"title": "Important Features",
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"description": "Comprehensive tools for medical imaging research, standardized and reproducible.",
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"order": 1,
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"items": [
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{"icon": "⚗️", "title": "Image Filtering", "content": "Standardized image filtering techniques compliant with IBSI 2.0 guidelines.", "order": 1},
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{"icon": "🖥️", "title": "Professional Viewer", "content": "Comfortable, professional medical image viewer with multi-modality support.", "order": 2},
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{"icon": "📊", "title": "Radiomics Features", "content": "Handcrafted radiomics feature generation standardized by IBSI 1.0.", "order": 3},
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{"icon": "🔄", "title": "Format Support", "content": "NIFTI, DICOM, NRRD, and more — comprehensive multi-format support.", "order": 4},
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{"icon": "🗂️", "title": "Image Registration", "content": "Advanced image registration, fusion, and standardized SUV conversion.", "order": 5},
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{"icon": "🔬", "title": "RT Struct Support", "content": "Full RT struct support for radiation oncology workflows and research.", "order": 6},
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],
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},
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{
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"section_type": HomepageSection.TYPE_SCREENSHOTS,
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"badge": "Gallery",
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"title": "See Tecvico in Action",
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"description": "Explore Tecvico's powerful interface, workflow builder, and multi-modal image viewer.",
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"order": 2,
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"items": [],
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},
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{
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"section_type": HomepageSection.TYPE_PRODUCTS,
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"badge": "Our Software",
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"title": "Products",
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"description": "Explore our suite of medical imaging and radiomics tools.",
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"order": 3,
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"items": [],
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},
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{
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"section_type": HomepageSection.TYPE_PROBLEMS,
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"badge": "Value Proposition",
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"title": "What Problems Does Tecvico Solve?",
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"description": "",
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"order": 4,
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"items": [
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{"icon": "01", "title": "Accessibility", "content": "Tecvico provides a user-friendly interface and a wide range of tools, allowing researchers to perform complex data analysis without extensive technical knowledge or programming expertise.", "order": 1},
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{"icon": "02", "title": "Integrated Tools", "content": "Tecvico integrates a vast collection of tools and resources from various domains of healthcare and medical imaging research in a common, unified environment.", "order": 2},
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{"icon": "03", "title": "Flexibility", "content": "Tecvico offers flexibility in terms of tool optimization and workflow customization to match your specific research requirements.", "order": 3},
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{"icon": "04", "title": "Reproducibility", "content": "Improve usability, reusability, and reproducibility (URR) through a workflow management system that allows researchers to easily create, share, and reuse analysis pipelines.", "order": 4},
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],
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},
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{
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"section_type": HomepageSection.TYPE_PROJECTS,
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"title": "Our Journey in the Realm of",
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"title_highlight": "Outstanding Projects",
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"description": (
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"Explore our standout projects here and immerse yourself in our journey "
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"through the world of innovation and development."
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),
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"order": 5,
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"items": [
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{
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"title": "Revolutionizing Radiomics Analysis and Medical Image Visualization",
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"content": (
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"Visera is a free, open-source software specialized for visualization, processing, "
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"segmentation, registration, fusion and analysis of medical / biomedical images, "
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"including radiomics and machine learning analysis."
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),
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"tags": "Web Development, Publication",
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"project_status": HomepageSectionItem.STATUS_NEW,
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"url": "https://visera.ca/",
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"image_path": "projects/research2.png",
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"image_alt": "Visera medical imaging software",
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"order": 1,
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},
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{
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"title": "Automatic Segmentation of Head and Neck Cancer using Fusion ...",
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"content": (
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"People with the below expertise are able to apply for this project: "
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"1-The individual with enough experience ..."
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),
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"tags": "Web Development, Publication",
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"project_status": HomepageSectionItem.STATUS_ONGOING,
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"image_path": "projects/project-frame-2.png",
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"order": 2,
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},
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{
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"title": "Predicting TNM Stage in Head and Neck Cancer using Multi-Modality Fusion ...",
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"content": "People with the below expertise are able to apply for this project.",
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"tags": "Web Development, Publication",
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"project_status": HomepageSectionItem.STATUS_DONE,
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"image_path": "projects/project-frame-3.png",
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"order": 3,
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},
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{
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"title": "Application of Deep Learning Techniques Coupled with fusion Models for ...",
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"content": (
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"People with the below expertise are able to apply for this project: "
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"1-The individual with enough experience ..."
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),
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"tags": "Web Development, Publication",
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"project_status": HomepageSectionItem.STATUS_NEW,
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"image_path": "projects/project-frame-4.png",
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"order": 4,
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|
},
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{
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"title": "Identifying Reliable and Robust Tensor Radiomics Features in Lung Cancer",
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"content": (
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"Radiomics is a major frontier in medical image analysis, enabling the mining "
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"of high-dimensional data from ..."
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),
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|
"tags": "Web Development, Publication",
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|
"project_status": HomepageSectionItem.STATUS_ONGOING,
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|
"image_path": "projects/project-frame-5.png",
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"order": 5,
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|
},
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],
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},
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{
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"section_type": HomepageSection.TYPE_EXPERIENCE,
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|
"title": "Experience Leading",
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|
"title_highlight": "the Way in Development",
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"description": (
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|
"Embark on a journey of accelerated product development, prioritizing stability, "
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"security, and flexible technology choices.\n\n"
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"Our commitment to crafting a distinctive user experience ensures your product "
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"stands out with innovative design and seamless functionality."
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),
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|
"order": 6,
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|
"items": [
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{
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"title": "Financial Benefits",
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"content": (
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|
"Maximize your financial gains with our solutions, offering cost-effective "
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"strategies and optimized financial performance."
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),
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"image_path": "experience/financial-benefits.svg",
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"order": 1,
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},
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{
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"title": "24/7 Support",
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"content": (
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"Enjoy peace of mind with our round-the-clock support, ensuring assistance "
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|
"and guidance whenever you need it, day or night."
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),
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"image_path": "experience/support.svg",
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"order": 2,
|
|
},
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{
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"title": "Quality Assurance",
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"content": (
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"Rely on our commitment to quality assurance, where meticulous processes "
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"guarantee the delivery of high-quality, error-free outcomes."
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),
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"image_path": "experience/quality-assurance.svg",
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"order": 3,
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|
},
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|
{
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|
"title": "International Workshop",
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|
"content": (
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"Engage in our international workshops, fostering collaboration and knowledge "
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"exchange on a global scale for enhanced innovation and skill development."
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),
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"image_path": "experience/international-workshop.svg",
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"order": 4,
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},
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],
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},
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{
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|
"section_type": HomepageSection.TYPE_ABOUT_STRIP,
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|
"badge": "Our Story",
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|
"title": "More to Know",
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"description": (
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"Tecvico has been developing since 2021 by the Quantitative Radiomolecular Imaging "
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"and Therapy (Qurit) lab & program at the University of British Columbia & "
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"BC Cancer Research Institute, Vancouver, BC, Canada."
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),
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"link_text": "Learn More",
|
|
"link_url": "/about/",
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|
"order": 7,
|
|
"items": [],
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},
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|
{
|
|
"section_type": HomepageSection.TYPE_SUPPORTERS,
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|
"badge": "Acknowledgements",
|
|
"title": "Our Supporters",
|
|
"description": "Tecvico is made possible by the support of leading research institutions and organizations.",
|
|
"order": 8,
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|
"items": [
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{
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|
"title": "University of British Columbia",
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|
"content": "Faculty of Medicine and the Department of Integrative Oncology.",
|
|
"order": 1,
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|
},
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|
{
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|
"title": "BC Cancer Research Institute",
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|
"content": "Supporting cutting-edge radiomics and medical imaging research in Vancouver, BC.",
|
|
"order": 2,
|
|
},
|
|
],
|
|
},
|
|
]
|
|
|
|
DOWNLOAD_ITEMS = [
|
|
{
|
|
"name": "Tecvico Desktop",
|
|
"platform": "windows",
|
|
"version": "1.0.0",
|
|
"download_url": "https://github.com/tecvico/tecvico/releases/latest/download/Tecvico-Setup.exe",
|
|
"description": "Windows 10 and above (64-bit). Installer package.",
|
|
"is_active": True,
|
|
"order": 1,
|
|
},
|
|
{
|
|
"name": "Tecvico Desktop",
|
|
"platform": "macos",
|
|
"version": "Coming Soon",
|
|
"download_url": "#",
|
|
"description": "macOS version is under development.",
|
|
"is_active": False,
|
|
"order": 2,
|
|
},
|
|
{
|
|
"name": "Tecvico Desktop",
|
|
"platform": "linux",
|
|
"version": "Coming Soon",
|
|
"download_url": "#",
|
|
"description": "Linux version is under development.",
|
|
"is_active": False,
|
|
"order": 3,
|
|
},
|
|
]
|
|
|
|
|
|
class Command(BaseCommand):
|
|
help = "Seed the database with initial Tecvico website content"
|
|
|
|
def add_arguments(self, parser):
|
|
parser.add_argument(
|
|
"--flush",
|
|
action="store_true",
|
|
help="Delete all existing seed data before re-seeding",
|
|
)
|
|
|
|
@transaction.atomic
|
|
def handle(self, *args, **options):
|
|
if options["flush"]:
|
|
self.stdout.write("Flushing existing seed data...")
|
|
ArticleSection.objects.all().delete()
|
|
Article.objects.all().delete()
|
|
SubProduct.objects.all().delete()
|
|
MainProduct.objects.all().delete()
|
|
FAQEntry.objects.all().delete()
|
|
DownloadItem.objects.all().delete()
|
|
HomepageSectionItem.objects.all().delete()
|
|
HomepageSection.objects.all().delete()
|
|
HeroSection.objects.all().delete()
|
|
|
|
self._seed_products()
|
|
self._seed_faq()
|
|
self._seed_downloads()
|
|
self._seed_homepage_sections()
|
|
self._seed_hero()
|
|
self._seed_site_contact()
|
|
self._seed_site_branding()
|
|
|
|
self.stdout.write(self.style.SUCCESS("Content seeded successfully."))
|
|
|
|
def _seed_products(self):
|
|
for product_data in MAIN_PRODUCTS:
|
|
sub_products_data = product_data.pop("sub_products")
|
|
main_product, created = MainProduct.objects.get_or_create(
|
|
slug=product_data["slug"],
|
|
defaults=product_data,
|
|
)
|
|
if not created:
|
|
for field, value in product_data.items():
|
|
setattr(main_product, field, value)
|
|
main_product.save()
|
|
|
|
action = "Created" if created else "Updated"
|
|
self.stdout.write(f" {action} main product: {main_product.name}")
|
|
|
|
for sub_data in sub_products_data:
|
|
articles_data = sub_data.pop("articles")
|
|
sub_product, sub_created = SubProduct.objects.get_or_create(
|
|
main_product=main_product,
|
|
slug=sub_data["slug"],
|
|
defaults=sub_data,
|
|
)
|
|
if not sub_created:
|
|
for field, value in sub_data.items():
|
|
setattr(sub_product, field, value)
|
|
sub_product.save()
|
|
|
|
sub_action = "Created" if sub_created else "Updated"
|
|
self.stdout.write(f" {sub_action} sub-product: {sub_product.name}")
|
|
|
|
for article_data in articles_data:
|
|
sections_data = article_data.pop("sections")
|
|
article, art_created = Article.objects.get_or_create(
|
|
sub_product=sub_product,
|
|
title=article_data["title"],
|
|
defaults=article_data,
|
|
)
|
|
if not art_created:
|
|
for field, value in article_data.items():
|
|
setattr(article, field, value)
|
|
article.save()
|
|
|
|
art_action = "Created" if art_created else "Updated"
|
|
self.stdout.write(f" {art_action} article: {article.title}")
|
|
|
|
for section_data in sections_data:
|
|
section, _ = ArticleSection.objects.get_or_create(
|
|
article=article,
|
|
title=section_data["title"],
|
|
defaults=section_data,
|
|
)
|
|
|
|
def _seed_faq(self):
|
|
for entry_data in FAQ_ENTRIES:
|
|
faq, created = FAQEntry.objects.get_or_create(
|
|
question=entry_data["question"],
|
|
defaults=entry_data,
|
|
)
|
|
if not created:
|
|
for field, value in entry_data.items():
|
|
setattr(faq, field, value)
|
|
faq.save()
|
|
|
|
action = "Created" if created else "Updated"
|
|
self.stdout.write(f" {action} FAQ: {faq.question[:60]}...")
|
|
|
|
def _seed_homepage_sections(self):
|
|
for section_data in HOMEPAGE_SECTIONS:
|
|
items_data = section_data.pop("items")
|
|
section, created = HomepageSection.objects.get_or_create(
|
|
order=section_data["order"],
|
|
defaults=section_data,
|
|
)
|
|
if not created:
|
|
for field, value in section_data.items():
|
|
setattr(section, field, value)
|
|
section.is_active = True
|
|
section.save()
|
|
|
|
action = "Created" if created else "Updated"
|
|
self.stdout.write(f" {action} homepage section: {section}")
|
|
|
|
seed_titles = [item_data["title"] for item_data in items_data if item_data.get("title")]
|
|
if seed_titles:
|
|
section.items.exclude(title__in=seed_titles).delete()
|
|
else:
|
|
section.items.all().delete()
|
|
|
|
for item_data in items_data:
|
|
image_path = item_data.pop("image_path", None)
|
|
item, item_created = HomepageSectionItem.objects.get_or_create(
|
|
section=section,
|
|
title=item_data["title"],
|
|
defaults=item_data,
|
|
)
|
|
if not item_created:
|
|
for field, value in item_data.items():
|
|
setattr(item, field, value)
|
|
item.save()
|
|
if image_path:
|
|
self._attach_item_image(item, image_path)
|
|
|
|
def _attach_item_image(self, item, relative_path):
|
|
path = Path(settings.BASE_DIR) / "static" / "images" / "tecvico" / relative_path
|
|
if not path.exists():
|
|
self.stdout.write(self.style.WARNING(f" Missing image: {path}"))
|
|
return
|
|
if item.image and item.image.name.endswith(path.name):
|
|
return
|
|
with path.open("rb") as handle:
|
|
item.image.save(path.name, File(handle), save=True)
|
|
|
|
def _seed_downloads(self):
|
|
for item_data in DOWNLOAD_ITEMS:
|
|
item, created = DownloadItem.objects.get_or_create(
|
|
name=item_data["name"],
|
|
platform=item_data["platform"],
|
|
defaults=item_data,
|
|
)
|
|
if not created:
|
|
for field, value in item_data.items():
|
|
setattr(item, field, value)
|
|
item.save()
|
|
|
|
action = "Created" if created else "Updated"
|
|
self.stdout.write(f" {action} download: {item}")
|
|
|
|
def _seed_hero(self):
|
|
data = {
|
|
"badge": "Innovation, Advancement, Competition",
|
|
"title": "Advanced Solutions",
|
|
"title_highlight": "for Your Business Development",
|
|
"subtitle": "Welcome to a new era of commerce with us",
|
|
"description": (
|
|
"At Tecvico, we're a dynamic team challenging business norms. Our creativity and "
|
|
"expertise converge to provide innovative solutions, transforming enterprises."
|
|
),
|
|
"primary_cta_text": "Get started for free",
|
|
"primary_cta_url": "/products/",
|
|
"secondary_cta_text": "About Tecvico",
|
|
"secondary_cta_url": "/about/",
|
|
"image_alt": "Tecvico showcase",
|
|
}
|
|
hero = HeroSection.objects.first()
|
|
if hero is None:
|
|
HeroSection.objects.create(**data)
|
|
self.stdout.write(" Created hero section")
|
|
else:
|
|
for field, value in data.items():
|
|
if field == "image":
|
|
continue
|
|
setattr(hero, field, value)
|
|
hero.save()
|
|
self.stdout.write(" Updated hero section")
|
|
|
|
def _seed_site_contact(self):
|
|
contact, created = SiteContact.objects.get_or_create(
|
|
pk=1,
|
|
defaults={
|
|
"support_email": "pr@tecvico.com",
|
|
"discord_url": "https://discord.gg/9XxA6pV9hb",
|
|
"email_card_description": "For direct software support:",
|
|
"discord_card_description": "Join for community support and announcements.",
|
|
"office_address": (
|
|
"BC Cancer Research Center\n"
|
|
"675 West 10th Ave, Office 6-112\n"
|
|
"Vancouver, BC, V5Z 1L3\n"
|
|
"Canada"
|
|
),
|
|
},
|
|
)
|
|
if not created:
|
|
updates = {
|
|
"support_email": "pr@tecvico.com",
|
|
"discord_url": "https://discord.gg/9XxA6pV9hb",
|
|
"email_card_description": "For direct software support:",
|
|
"discord_card_description": "Join for community support and announcements.",
|
|
"office_address": (
|
|
"BC Cancer Research Center\n"
|
|
"675 West 10th Ave, Office 6-112\n"
|
|
"Vancouver, BC, V5Z 1L3\n"
|
|
"Canada"
|
|
),
|
|
}
|
|
for field, value in updates.items():
|
|
setattr(contact, field, value)
|
|
contact.save()
|
|
action = "Created" if created else "Updated"
|
|
self.stdout.write(f" {action} site contact")
|
|
|
|
def _seed_site_branding(self):
|
|
branding = SiteBranding.load()
|
|
if branding.icon:
|
|
branding.icon.delete(save=False)
|
|
branding.icon = None
|
|
branding.icon_alt = "Tecvico"
|
|
branding.navbar_icon_size = 40
|
|
branding.footer_icon_size = 48
|
|
branding.show_border = False
|
|
branding.save()
|
|
self.stdout.write(" Updated site branding")
|