Datumformat verbessert
This commit is contained in:
@@ -5,9 +5,6 @@
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"#Excel Export\n",
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@@ -87,218 +76,15 @@
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" <td>Schusterinsel</td>\n",
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" <td>active</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>4.9563</td>\n",
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" <td>True</td>\n",
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" <td>5.6771</td>\n",
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" <td>True</td>\n",
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" <td>2.0614</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>2.4701</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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" <td>field</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>Nachtweide</td>\n",
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" <td>active</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>3.0704</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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" <td>field</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>Steinacker</td>\n",
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" <td>active</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>2.6109</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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" <th>9</th>\n",
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" <td>Siegelwoerth</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>0.7707</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td>Waethle</td>\n",
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" <td>active</td>\n",
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" <td>06.05.2024</td>\n",
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" <td>1.4308</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td>Wolfsfeld</td>\n",
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" <td>3.5169</td>\n",
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" <th>12</th>\n",
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" <td>Grosser Acker</td>\n",
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" <td>12.5316</td>\n",
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" <td>asset--land</td>\n",
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" <td>True</td>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Name Status Created Area (ha) Asset type Is fixed land_type Is location\n",
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"0 Helmacker active 06.05.2024 3.0321 asset--land True field True\n",
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"1 Neureut active 06.05.2024 4.1875 asset--land True field True\n",
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"2 Schusterinsel active 06.05.2024 4.9563 asset--land True field True\n",
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"3 Kesselacker active 06.05.2024 2.1625 asset--land True field True\n",
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"4 Kapelle active 06.05.2024 5.6771 asset--land True field True\n",
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"5 Loehle active 06.05.2024 2.0614 asset--land True field True\n",
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"6 Kirchenberg active 06.05.2024 2.4701 asset--land True field True\n",
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"7 Nachtweide active 06.05.2024 3.0704 asset--land True field True\n",
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"8 Steinacker active 06.05.2024 2.6109 asset--land True field True\n",
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"9 Siegelwoerth active 06.05.2024 0.7707 asset--land True field True\n",
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"10 Waethle active 06.05.2024 1.4308 asset--land True field True\n",
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"11 Wolfsfeld active 06.05.2024 3.5169 asset--land True field True\n",
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"12 Grosser Acker active 06.05.2024 12.5316 asset--land True field True"
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]
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},
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"execution_count": 2,
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],
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"outputs": [],
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"source": [
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"#Zeige alle \"Land\" Daten\n",
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"import pandas as pd\n",
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@@ -541,14 +327,57 @@
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" <th>0</th>\n",
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" <td>W-Raps Saatgut Otello KWS Seed 08/24</td>\n",
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"source": [
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"#Zeige alle \"seed\" Daten\n",
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"import pandas as pd\n",
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@@ -605,7 +434,7 @@
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" {\n",
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" \"Name\": asset[\"attributes\"][\"name\"],\n",
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" \"Status\": asset[\"attributes\"][\"status\"],\n",
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" \"Created\": pd.to_datetime(asset[\"attributes\"][\"created\"]).strftime('%d.%m.%Y'),\n",
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@@ -646,7 +475,7 @@
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" for asset in all_activity_assets\n",
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@@ -668,63 +497,14 @@
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"outputs": [],
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"source": [
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"#Zeige alle \"input\" Daten\n",
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"import pandas as pd\n",
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@@ -736,7 +516,7 @@
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" {\n",
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" \"Name\": asset[\"attributes\"][\"name\"],\n",
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" \"Status\": asset[\"attributes\"][\"status\"],\n",
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" \"Created\": pd.to_datetime(asset[\"attributes\"][\"created\"]).strftime('%d.%m.%Y'),\n",
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" for asset in all_input_assets\n",
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@@ -777,7 +557,7 @@
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" {\n",
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" \"Name\": asset[\"attributes\"][\"name\"],\n",
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" for asset in all_maintenance_assets\n",
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@@ -818,7 +598,7 @@
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" {\n",
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" \"Name\": asset[\"attributes\"][\"name\"],\n",
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" for asset in all_medical_assets\n",
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@@ -859,7 +639,7 @@
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" {\n",
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" \"Name\": asset[\"attributes\"][\"name\"],\n",
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" \"Status\": asset[\"attributes\"][\"status\"],\n",
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" \"Created\": pd.to_datetime(asset[\"attributes\"][\"created\"]).strftime('%d.%m.%Y'),\n",
|
||||
" \"Timestamp\": pd.to_datetime(asset[\"attributes\"][\"timestamp\"]).strftime('%d.%m.%Y'),\n",
|
||||
" \n",
|
||||
" }\n",
|
||||
" for asset in all_seeding_assets\n",
|
||||
@@ -891,8 +671,6 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#filter auf einen harvest log\n",
|
||||
"import pandas as pd\n",
|
||||
"\n",
|
||||
"response = farm_client.log.get('harvest')\n",
|
||||
"all_harvest_assets = response['data']\n",
|
||||
"\n",
|
||||
@@ -900,7 +678,7 @@
|
||||
" {\n",
|
||||
" \"Name\": asset[\"attributes\"][\"name\"],\n",
|
||||
" \"Status\": asset[\"attributes\"][\"status\"],\n",
|
||||
" \"Created\": pd.to_datetime(asset[\"attributes\"][\"created\"]).strftime('%d.%m.%Y'),\n",
|
||||
" \"Timestamp\": pd.to_datetime(asset[\"attributes\"][\"timestamp\"]).strftime('%d.%m.%Y'),\n",
|
||||
" }\n",
|
||||
" for asset in all_harvest_assets\n",
|
||||
"]\n",
|
||||
@@ -922,15 +700,9 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 3,
|
||||
"id": "d23c84ac-9a04-4019-9b0c-0c549620af35",
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"jupyter": {
|
||||
"outputs_hidden": true,
|
||||
"source_hidden": true
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
@@ -953,32 +725,36 @@
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>Name</th>\n",
|
||||
" <th>Timestamp</th>\n",
|
||||
" <th>Plant</th>\n",
|
||||
" <th>Area</th>\n",
|
||||
" <th>Timestamp</th>\n",
|
||||
" <th>Log Name</th>\n",
|
||||
" <th>Status</th>\n",
|
||||
" <th>Revision Created</th>\n",
|
||||
" <th>Link</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>W-Raps Helmacker Harvest 24/25</td>\n",
|
||||
" <td>2024-10-20T10:11:15+00:00</td>\n",
|
||||
" <td>W-Raps Helmacker Plant 24/25</td>\n",
|
||||
" <td>3.12</td>\n",
|
||||
" <td>20.10.2024</td>\n",
|
||||
" <td>W-Raps Helmacker Harvest 24/25</td>\n",
|
||||
" <td>done</td>\n",
|
||||
" <td>2024-10-21T10:56:27+00:00</td>\n",
|
||||
" <td>21.10.2024</td>\n",
|
||||
" <td>https://farmos.wagframe.duckdns.org/api/log/ha...</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Name Timestamp Plant Status Revision Created\n",
|
||||
"0 W-Raps Helmacker Harvest 24/25 2024-10-20T10:11:15+00:00 W-Raps Helmacker Plant 24/25 done 2024-10-21T10:56:27+00:00"
|
||||
" Plant Area Timestamp Log Name Status Revision Created Link\n",
|
||||
"0 W-Raps Helmacker Plant 24/25 3.12 20.10.2024 W-Raps Helmacker Harvest 24/25 done 21.10.2024 https://farmos.wagframe.duckdns.org/api/log/ha..."
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -987,14 +763,13 @@
|
||||
"#Versuch\n",
|
||||
"import pandas as pd\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"def get_related_logs_of_type(asset, type): \n",
|
||||
" response = farm_client.resource.get('log', type)\n",
|
||||
" ret = []\n",
|
||||
" for log in response['data']:\n",
|
||||
" assets = log['relationships']['asset']['data']\n",
|
||||
" for asset in assets:\n",
|
||||
" if asset['id'] == id:\n",
|
||||
" log_assets = log['relationships']['asset']['data']\n",
|
||||
" for log_asset in log_assets:\n",
|
||||
" if log_asset['id'] == asset['id']:\n",
|
||||
" ret.append(log)\n",
|
||||
" return ret\n",
|
||||
"\n",
|
||||
@@ -1020,43 +795,55 @@
|
||||
" for asset in assets:\n",
|
||||
" if asset['type'] == 'asset--plant': \n",
|
||||
" plant_id = asset['id']\n",
|
||||
" seedings = get_related_logs_of_type(plant_id, 'seeding')\n",
|
||||
" \n",
|
||||
" seedings = get_related_logs_of_type(asset, 'seeding')\n",
|
||||
" for seeding in seedings:\n",
|
||||
" area_quants = get_related_quantities_of_measure(seeding, 'area')\n",
|
||||
" for area_quant in area_quants:\n",
|
||||
" plant_area += float(area_quant['data']['attributes']['value']['decimal'])\n",
|
||||
" plant = farm_client.asset.get_id('plant', plant_id)\n",
|
||||
" plant_name = plant['data']['attributes']['name']\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" # log aufbauen\n",
|
||||
" log = {\n",
|
||||
" \n",
|
||||
" 'Name': item['attributes']['name'],\n",
|
||||
" 'Timestamp': item['attributes']['timestamp'],\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" 'Plant': plant_name,\n",
|
||||
" \n",
|
||||
" 'Area': plant_area,\n",
|
||||
" \n",
|
||||
" 'Timestamp': pd.to_datetime(item[\"attributes\"][\"timestamp\"]).strftime('%d.%m.%Y'),\n",
|
||||
" 'Log Name': item['attributes']['name'],\n",
|
||||
" 'Status': item['attributes']['status'],\n",
|
||||
" 'Revision Created': item['attributes']['revision_created'],\n",
|
||||
" }\n",
|
||||
" 'Revision Created': pd.to_datetime(item[\"attributes\"][\"revision_created\"]).strftime('%d.%m.%Y'),\n",
|
||||
" 'Link': item['links']['self']['href']\n",
|
||||
" }\n",
|
||||
" logs.append(log)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# Erstelle ein Pandas DataFrame aus den extrahierten Daten\n",
|
||||
"# Erstelle ein DataFrame aus den Harvest Logs\n",
|
||||
"df = pd.DataFrame(logs)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# Setze Pandas-Optionen für eine bessere Anzeige\n",
|
||||
"pd.set_option('display.max_columns', None) # Alle Spalten anzeigen\n",
|
||||
"pd.set_option('display.max_colwidth', 50) # Maximale Spaltenbreite setzen\n",
|
||||
"pd.set_option('display.width', 1000) # Maximale Breite der Tabelle\n",
|
||||
"\n",
|
||||
"df\n"
|
||||
"df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c74becaa-5899-4ad0-bb6e-5399cc5d0aa2",
|
||||
"id": "434b8acb-89da-4ac0-8a36-0cb70df6db11",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "5e6566de-ba49-4566-87c1-37ed165aaff9",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2c4d4aa6-0a3b-4860-b186-965e827f8eed",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
|
||||
Reference in New Issue
Block a user