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db-view.yaml
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server_modules:
- {name: TalkToDataTable, code: "from tables import app_tables\nfrom tables import\
\ app_tables\nimport anvil.server\n\n# This is a server module. It runs on the\
\ Anvil server,\n# rather than in the user's browser.\n\n\n# To allow anvil.server.call()\
\ to call this code, we mark\n# it with @anvil.server.callable.\n# Here is an\
\ example - you can replace it with your own:\n\[email protected]\ndef get_all_data\
\ ():\n data = [[] for i in range(len(app_tables.projects_database.list_columns()))]\n\
\ \n for row in app_tables.projects_database.search():\n data = [data[:],[row[\"\
projectnumber\"],\n row[\"projecttitle\"],\n row[\"\
projecttype\"],\n row[\"institution\"],\n row[\"\
projectlocation\"],\n row[\"country\"],\n row[\"\
specialty\"],\n row[\"experiencelevel\"],\n row[\"\
projectduration\"],\n row[\"estimatedcommitmentperweek\"],\n \
\ row[\"expectedoutcome\"],\n row[\"numberofstudents\"\
],\n row[\"moreinfo\"]]] \n return app_tables.projects_database"}
modules: []
forms:
- code: "from anvil import *\nfrom tables import app_tables\nimport anvil.server\n\
\nclass Form1(Form1Template):\n \n def table_reset_click (self, **event_args):\
\ \n for this_dd in self.dd_list:\n this_dd.selected_value = 'Any'\n \
\ self.table_update()\n pass\n\n def reset_filters_click (self, **event_args):\
\ # Runs when reset button is clicked\n self.unique_projecttype_list = ['Any']\n\
\ self.unique_specialty_list = ['Any']\n pass\n\n def get_unique_lists(self,\
\ **event_args):\n for row in app_tables.projects_database.search():\n \
\ # Add project types \n if row[\"projecttype\"] not in self.unique_projecttype_list:\n\
\ self.unique_projecttype_list.append(row[\"projecttype\"])\n # Pick\
\ out individual specialties and add to list \n for specialty in row[\"specialty\"\
].split(\",\"):\n if specialty.strip() not in self.unique_specialty_list:\n\
\ self.unique_specialty_list.append(specialty.strip())\n\n # Sort\
\ into alphabetical order\n self.unique_projecttype_list.sort() \n \
\ self.unique_specialty_list.sort()\n \n # Set up arrays for dropdowns to\
\ contain TODO: this is disgusting\n self.filter_lists = [\n ['Any'],\n\
\ ['Any'],\n self.unique_projecttype_list,\n ['Any'],\n ['Any'],\n\
\ ['Any'],\n self.unique_specialty_list,\n ['Any'],\n ['Any'],\n\
\ ['Any'],\n ['Any'],\n ['Any'],\n ['Any']\n ] \
\ \n pass\n\n def popup_box (self, **event_args):\n pass\n \n \
\ \n def table_update (self, **event_args):\n # Set up for new data\n row_num\
\ = 0 \n self.column_panel_rows.clear()\n \n \
\ for row in app_tables.projects_database.search():\n # Decide which rows\
\ to print out\n print_this_row = True\n for (col_num, dd) in zip(self.cols_with_dds,\
\ self.dd_list):\n at_leasat_one_item_matches = False\n for item\
\ in row[self.column_headers_short[col_num]].split(\",\"):\n if item.strip()\
\ == dd.selected_value or dd.selected_value == \"Any\":\n at_leasat_one_item_matches\
\ = True\n break \n if not at_leasat_one_item_matches:\n \
\ print_this_row=False\n if not print_this_row:\n continue\n\
\ \n # Make row holders for each row color\n if row_num % 2 > 0:\n\
\ row_holder = GridPanel(width=1000,background=\"#\",row_spacing=0)\n \
\ else:\n row_holder = GridPanel(width=1000,background=\"#D1D3D6\"\
,row_spacing=0)\n \n # Make number and title row 0\n row_holder.add_component(Label(text=\"\
%s\" % row[\"projectnumber\"].strip(),font_size=11,font=\"Calibri\",align=\"center\"\
),row=row_num, col_xs=0, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"projecttitle\"].strip(),font_size=11,font=\"Calibri\",underline=True,align=\"\
left\"),row=row_num, col_xs=1, width_xs=10)\n \n # Make info row 1\n \
\ row_holder.add_component(Label(text=\"%s\" % row[\"projecttype\"].strip(),font_size=11,font=\"\
Calibri\",align=\"left\"),row=row_num+1, col_xs=1, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s, %s, %s\" % (row[\"institution\"].strip(), row[\"projectlocation\"].strip(),\
\ row[\"country\"].strip()),font_size=11,font=\"Calibri\",bold=False,align=\"\
left\"),row=row_num+1, col_xs=2, width_xs=2)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"specialty\"].strip(),font_size=11,font=\"Calibri\",align=\"left\"\
),row=row_num+1, col_xs=4, width_xs=2)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"experiencelevel\"].strip(),font_size=11,font=\"Calibri\",align=\"\
left\"),row=row_num+1, col_xs=6, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"projectduration\"].strip(),font_size=11,font=\"Calibri\",align=\"\
left\"),row=row_num+1, col_xs=7, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"estimatedcommitmentperweek\"].strip(),font_size=11,font=\"Calibri\"\
,align=\"center\"),row=row_num+1, col_xs=8, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"expectedoutcome\"].strip(),font_size=11,font=\"Calibri\",align=\"\
left\"),row=row_num+1, col_xs=9, width_xs=1)\n row_holder.add_component(Label(text=\"\
%s\" % row[\"numberofstudents\"].strip(),font_size=11,font=\"Calibri\",align=\"\
center\"),row=row_num+1, col_xs=10, width_xs=1)\n\n link_text=Link(text=\"\
Apply now\",url=\"https://5LA65CXF3DRW6INM.anvilapp.net/MPTTWEL3SDKIOSZGPHELHKAW\"\
,font_size=11,font=\"Calibri\",align=\"left\")\n link_text.set_event_handler(\"\
click\", self.popup_box, row_num)\n row_holder.add_component(link_text,row=row_num+1,\
\ col_xs=11, width_xs=1) \n\n # Make description row 2\n row_holder.add_component(Label(text=row[\"\
moreinfo\"],font_size=11,font=\"Calibri\",italic=True),row=row_num+2, col_xs=1,\
\ width_xs=10)\n self.column_panel_rows.add_component(row_holder)\n \
\ \n # All done\n row_num = row_num + 1\n pass\n \n def __init__(self,\
\ **kwargs):\n # REQUIRED CALL FOR ANVIL\n self.init_components(**kwargs)\
\ \n \n # Set background colours\n self.grid_panel_container.background=\"\
#E8EBEE\" \n self.grid_panel_container.row_spacing = 0\n \n # Set up list\
\ of short column names for dropdown box searching \n # TODO: this is kind\
\ of disgusting\n self.column_headers_short = [\n \"projectnumber\",\n\
\ \"projecttitle\",\n \"projecttype\",\n \"institution\",\n \
\ \"projectlocation\",\n \"country\",\n \"specialty\",\n \"experiencelevel\"\
,\n \"projectduration\",\n \"estimatedcommitmentperweek\",\n \"\
expectedoutcome\",\n \"numberofstudents\", \
\ \n \"moreinfo\"\n ]\n \n # Make header row and filter row \n\
\ header_holder = GridPanel(background=\"#34495E\",width=1000,row_spacing=0)\n\
\ filter_holder = GridPanel(background=\"#1A2530\",width=1000,row_spacing=0)\n\
\n header_holder = GridPanel(background=\"#98A3AE\",width=1000,row_spacing=0)\n\
\ filter_holder = GridPanel(background=\"#E8EBEE\",width=1000,row_spacing=0)\n\
\n # Reset filters\n self.reset_filters_click()\n \n # Make lists\
\ of unique values for filters\n self.get_unique_lists()\n \n # Set up\
\ arrays for dropdowns, and which columns have dropdowns\n self.dd_list = []\n\
\ self.cols_with_dds = []\n \n # Make column headers\n header_holder.add_component(Label(text=\"\
Project number\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"\
header\", col_xs=0, width_xs=1)\n header_holder.add_component(Label(text=\"\
Project type\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"\
header\", col_xs=1, width_xs=1)\n header_holder.add_component(Label(text=\"\
Project location\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"\
header\", col_xs=2, width_xs=2)\n header_holder.add_component(Label(text=\"\
Specialty\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"header\"\
, col_xs=4, width_xs=2)\n header_holder.add_component(Label(text=\"Experience\
\ level\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"header\"\
, col_xs=6, width_xs=1)\n header_holder.add_component(Label(text=\"Project\
\ duration\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"header\"\
, col_xs=7, width_xs=1)\n header_holder.add_component(Label(text=\"Estimated\
\ time commitment (hours per week)\",font_size=12,font=\"Calibri\",bold=True,align=\"\
left\"),row=\"header\", col_xs=8, width_xs=1)\n header_holder.add_component(Label(text=\"\
Expected outcome\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"),row=\"\
header\", col_xs=9, width_xs=1)\n header_holder.add_component(Label(text=\"\
Number of student places\",font_size=12,font=\"Calibri\",bold=True,align=\"left\"\
),row=\"header\", col_xs=10, width_xs=1)\n header_holder.add_component(Label(text=\"\
Apply (form opens in new window)\",font_size=12,font=\"Calibri\",bold=True,align=\"\
left\"),row=\"header\", col_xs=11, width_xs=1) \n \n # Make dropdown\
\ for project type\n dd_projecttype = DropDown(items=self.filter_lists[2][:10],width=\"\
50px\",align=\"left\",font_size=10,font=\"Calibri\",background=\"#F6F9FC\",visible=True)\n\
\ self.dd_list.append(dd_projecttype)\n self.cols_with_dds.append(2)\n \
\ dd_projecttype.set_event_handler(\"change\", self.table_update, 2) # TODO\
\ Do I need to pass in col_num argument? Also this is hardcoded\n filter_holder.add_component(dd_projecttype,row=\"\
filters\", col_xs=1, width_xs=2)\n \n # Make dropdown for specialty\n \
\ dd_specialty = DropDown(items=self.filter_lists[6][:10],width=\"50px\",align=\"\
left\",font_size=10,font=\"Calibri\",background=\"#F6F9FC\",visible=True)\n \
\ self.dd_list.append(dd_specialty)\n self.cols_with_dds.append(6)\n dd_specialty.set_event_handler(\"\
change\", self.table_update, 6) # TODO Do I need to pass in col_num argument?\
\ Also this is hardcoded\n filter_holder.add_component(dd_specialty,row=\"\
filters\", col_xs=4, width_xs=2)\n \n # Make reset button \n reset_button\
\ = Button(text=\"Reset filters...\",font_size=10,font=\"Calibri\",background=\"\
#F6F9FC\",align=\"right\")\n reset_button.set_event_handler(\"click\", self.table_reset_click)\n\
\ filter_holder.add_component(reset_button,row=\"filters\", col_xs=10, width_xs=2)\n\
\ \n# Vestigial TODO: Investigate if I still need this\n# header_holder.remove_from_parent()\n\
# filter_holder.remove_from_parent()\n\n # Add header row and filter row\
\ to gridpanel\n self.column_panel_header.add_component(header_holder,row_spacing=0)\
\ \n self.column_panel_header.add_component(filter_holder,row_spacing=0)\
\ \n\n \n # Finally create the table\n self.table_update()"
class_name: Form1
container:
type: HtmlTemplate
properties:
html: ''
data: {}
repeat_component: ''
components:
- type: GridPanel
properties: {}
name: grid_panel_container
layout_properties: {slot: default}
components:
- type: Image
properties: {width: default, align: center, height: 200, border: '', foreground: '',
visible: true, spacing_above: small, source: 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',
spacing_below: none, background: ''}
name: image_1
layout_properties: {row: GEUADD, width_xs: 12, col_xs: 0, width: 1118, slot: default}
event_bindings: {mouse_move: image_1_mouse_move}
- type: ColumnPanel
properties:
width: default
border: ''
foreground: ''
repeat_component: ''
visible: true
row_spacing: 10
spacing_above: none
col_widths: '{}'
spacing_below: none
data: {}
background: ''
name: column_panel_header
layout_properties: {slot: default, row: OODFNX, width_xs: 12, col_xs: 0, grid_position: 'GKYGLJ,YILCBR'}
components: []
- type: ColumnPanel
properties:
width: default
border: ''
foreground: ''
repeat_component: ''
visible: true
row_spacing: 10
spacing_above: none
col_widths: '{}'
spacing_below: none
data: {}
background: ''
name: column_panel_rows
layout_properties: {slot: default, grid_position: 'IQVCXX,COQMRH', row: TDGMTV,
width_xs: 12, col_xs: 0, width: 1098}
components: []
$promise: {}
name: NSAMR -- Research -- View research project database
startup_form: Form1
renamed: true
services:
- source: /runtime/services/tables.yml
client_config: {}
server_config:
table_schemas:
- id: 347
columns:
yOgwE95z83c=:
name: specialty
type: string
admin_ui: {order: 0.75}
GnLqcz1PTCo=:
name: country
type: string
admin_ui: {order: 10}
4K1qc12895M=:
name: numberofstudents
type: string
admin_ui: {order: 0.5}
fgtll3WmCxI=:
name: projectduration
type: string
admin_ui: {order: 0.875}
4x2QwR8XjNA=:
name: expectedoutcome
type: string
admin_ui: {order: 0.96875}
zPQr4Q+Aa98=:
name: moreinfo
type: string
admin_ui: {order: 9}
2qkjRR28MUA=:
name: projecttype
type: string
admin_ui: {order: -0.5}
Tl1il_EBVyI=:
name: estimatedcommitmentperweek
type: string
admin_ui: {order: 4.5}
la_VKGJnmOs=:
name: experiencelevel
type: string
admin_ui: {order: 0.9375}
eVur54wNxFs=:
name: projecttitle
type: string
admin_ui: {order: 3.5}
gqxDNs33iks=:
name: projectlocation
type: string
admin_ui: {order: 0.3125}
HFn9qYXDNLw=:
name: institution
type: string
admin_ui: {order: 4.5}
3qslYz1Xnmc=:
name: projectnumber
type: string
admin_ui: {order: -1}
name: projects_database
server: full
client: search
python_name: projects_database