fix(simulate): Ensure that Rhino tolerance is passed to annual loads

honeybee_grasshopper_energy/json/HB_Read_Custom_Result.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.0.0", 
+  "version": "1.0.1", 
   "nickname": "CustomResult", 
   "outputs": [
     [
@@ -29,7 +29,7 @@
     }
   ], 
   "subcategory": "6 :: Result", 
-  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        results = sql_obj.data_collections_by_output_name(_output_names)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql, _output_names]\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_dicts = json.loads(stdout[0])\n        results = [HourlyContinuousCollection.from_dict(data) for data in data_dicts[0]]\n", 
+  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection, \\\n        MonthlyCollection, DailyCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\ndef serialize_data(data_dicts):\n    \"\"\"Reserialize a list of collection dictionaries.\"\"\"\n    if len(data_dicts) == 0:\n        return []\n    elif data_dicts[0]['type'] == 'HourlyContinuousCollection':\n        return [HourlyContinuousCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'MonthlyCollection':\n        return [MonthlyCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'DailyCollection':\n        return [DailyCollection.from_dict(data) for data in data_dicts]\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        results = sql_obj.data_collections_by_output_name(_output_names)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql, _output_names]\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_dicts = json.loads(stdout[0])\n        results = serialize_data(data_dicts[0])\n", 
   "category": "HB-Energy", 
   "name": "HB Read Custom Result", 
   "description": "Parse any time series data from an energy simulation SQL result file.\n-"

honeybee_grasshopper_energy/json/HB_Read_Face_Result.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.1.0", 
+  "version": "1.1.1", 
   "nickname": "FaceResult", 
   "outputs": [
     [
@@ -36,7 +36,7 @@
     }
   ], 
   "subcategory": "6 :: Result", 
-  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\ndef subtract_loss_from_gain(gain_load, loss_load):\n    \"\"\"Create a single DataCollection from gains and losses.\"\"\"\n    total_loads = []\n    for gain, loss in zip(gain_load, loss_load):\n        total_load = gain - loss\n        total_load.header.metadata['type'] = \\\n            total_load.header.metadata['type'].replace('Gain ', '')\n        total_loads.append(total_load)\n    return total_loads\n\n\ndef serialize_data(data_dicts):\n    \"\"\"Reserialize a list of HourlyContinuousCollection dictionaries.\"\"\"\n    return [HourlyContinuousCollection.from_dict(data) for data in data_dicts]\n\n\n# List of all the output strings that will be requested\nface_indoor_temp_output = 'Surface Inside Face Temperature'\nface_outdoor_temp_output = 'Surface Outside Face Temperature'\nopaque_energy_flow_output = 'Surface Average Face Conduction Heat Transfer Energy'\nwindow_loss_output = 'Surface Window Heat Loss Energy'\nwindow_gain_output = 'Surface Window Heat Gain Energy'\nall_output = [face_indoor_temp_output, face_outdoor_temp_output,\n              opaque_energy_flow_output, window_loss_output, window_gain_output]\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        # get all of the results\n        face_indoor_temp = sql_obj.data_collections_by_output_name(face_indoor_temp_output)\n        face_outdoor_temp = sql_obj.data_collections_by_output_name(face_outdoor_temp_output)\n        opaque_energy_flow = sql_obj.data_collections_by_output_name(opaque_energy_flow_output)\n        window_loss = sql_obj.data_collections_by_output_name(window_loss_output)\n        window_gain = sql_obj.data_collections_by_output_name(window_gain_output)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql] + all_output\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_coll_dicts = json.loads(stdout[0])\n        # get all of the results\n        face_indoor_temp = serialize_data(data_coll_dicts[0])\n        face_outdoor_temp = serialize_data(data_coll_dicts[1])\n        opaque_energy_flow = serialize_data(data_coll_dicts[2])\n        window_loss = serialize_data(data_coll_dicts[3])\n        window_gain = serialize_data(data_coll_dicts[4])\n\n    # do arithmetic with any of the gain/loss data collections\n    window_energy_flow = []\n    if len(window_gain) == len(window_loss):\n        window_energy_flow = subtract_loss_from_gain(window_gain, window_loss)\n    face_energy_flow = opaque_energy_flow + window_energy_flow\n", 
+  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection, \\\n        MonthlyCollection, DailyCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\ndef subtract_loss_from_gain(gain_load, loss_load):\n    \"\"\"Create a single DataCollection from gains and losses.\"\"\"\n    total_loads = []\n    for gain, loss in zip(gain_load, loss_load):\n        total_load = gain - loss\n        total_load.header.metadata['type'] = \\\n            total_load.header.metadata['type'].replace('Gain ', '')\n        total_loads.append(total_load)\n    return total_loads\n\n\ndef serialize_data(data_dicts):\n    \"\"\"Reserialize a list of collection dictionaries.\"\"\"\n    if len(data_dicts) == 0:\n        return []\n    elif data_dicts[0]['type'] == 'HourlyContinuousCollection':\n        return [HourlyContinuousCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'MonthlyCollection':\n        return [MonthlyCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'DailyCollection':\n        return [DailyCollection.from_dict(data) for data in data_dicts]\n\n\n# List of all the output strings that will be requested\nface_indoor_temp_output = 'Surface Inside Face Temperature'\nface_outdoor_temp_output = 'Surface Outside Face Temperature'\nopaque_energy_flow_output = 'Surface Average Face Conduction Heat Transfer Energy'\nwindow_loss_output = 'Surface Window Heat Loss Energy'\nwindow_gain_output = 'Surface Window Heat Gain Energy'\nall_output = [face_indoor_temp_output, face_outdoor_temp_output,\n              opaque_energy_flow_output, window_loss_output, window_gain_output]\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        # get all of the results\n        face_indoor_temp = sql_obj.data_collections_by_output_name(face_indoor_temp_output)\n        face_outdoor_temp = sql_obj.data_collections_by_output_name(face_outdoor_temp_output)\n        opaque_energy_flow = sql_obj.data_collections_by_output_name(opaque_energy_flow_output)\n        window_loss = sql_obj.data_collections_by_output_name(window_loss_output)\n        window_gain = sql_obj.data_collections_by_output_name(window_gain_output)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql] + all_output\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_coll_dicts = json.loads(stdout[0])\n        # get all of the results\n        face_indoor_temp = serialize_data(data_coll_dicts[0])\n        face_outdoor_temp = serialize_data(data_coll_dicts[1])\n        opaque_energy_flow = serialize_data(data_coll_dicts[2])\n        window_loss = serialize_data(data_coll_dicts[3])\n        window_gain = serialize_data(data_coll_dicts[4])\n\n    # do arithmetic with any of the gain/loss data collections\n    window_energy_flow = []\n    if len(window_gain) == len(window_loss):\n        window_energy_flow = subtract_loss_from_gain(window_gain, window_loss)\n    face_energy_flow = opaque_energy_flow + window_energy_flow\n", 
   "category": "HB-Energy", 
   "name": "HB Read Face Result", 
   "description": "Parse all of the common Room-level comfort-related results from an SQL result\nfile that has been generated from an energy simulation.\n-"

honeybee_grasshopper_energy/json/HB_Read_Room_Comfort_Result.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.0.0", 
+  "version": "1.0.1", 
   "nickname": "RoomComfortResult", 
   "outputs": [
     [
@@ -43,7 +43,7 @@
     }
   ], 
   "subcategory": "6 :: Result", 
-  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\ndef serialize_data(data_dicts):\n    \"\"\"Reserialize a list of HourlyContinuousCollection dictionaries.\"\"\"\n    return [HourlyContinuousCollection.from_dict(data) for data in data_dicts]\n\n\n# List of all the output strings that will be requested\noper_temp_output = 'Zone Operative Temperature'\nair_temp_output = 'Zone Mean Air Temperature'\nrad_temp_output = 'Zone Mean Radiant Temperature'\nrel_humidity_output = 'Zone Air Relative Humidity'\nall_output = [oper_temp_output, air_temp_output, rad_temp_output, rel_humidity_output]\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        # get all of the results\n        oper_temp = sql_obj.data_collections_by_output_name(oper_temp_output)\n        air_temp = sql_obj.data_collections_by_output_name(air_temp_output)\n        rad_temp = sql_obj.data_collections_by_output_name(rad_temp_output)\n        rel_humidity = sql_obj.data_collections_by_output_name(rel_humidity_output)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql] + all_output\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_coll_dicts = json.loads(stdout[0])\n        # get all of the results\n        oper_temp = serialize_data(data_coll_dicts[0])\n        air_temp = serialize_data(data_coll_dicts[1])\n        rad_temp = serialize_data(data_coll_dicts[2])\n        rel_humidity = serialize_data(data_coll_dicts[3])\n", 
+  "code": "\nimport os\nimport subprocess\nimport json\n\ntry:\n    from ladybug.datacollection import HourlyContinuousCollection, \\\n        MonthlyCollection, DailyCollection\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee.config import folders\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee:\\n\\t{}'.format(e))\n\ntry:\n    from honeybee_energy.result.sql import SQLiteResult\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import honeybee_energy:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\ndef serialize_data(data_dicts):\n    \"\"\"Reserialize a list of collection dictionaries.\"\"\"\n    if len(data_dicts) == 0:\n        return []\n    elif data_dicts[0]['type'] == 'HourlyContinuousCollection':\n        return [HourlyContinuousCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'MonthlyCollection':\n        return [MonthlyCollection.from_dict(data) for data in data_dicts]\n    elif data_dicts[0]['type'] == 'DailyCollection':\n        return [DailyCollection.from_dict(data) for data in data_dicts]\n\n\n# List of all the output strings that will be requested\noper_temp_output = 'Zone Operative Temperature'\nair_temp_output = 'Zone Mean Air Temperature'\nrad_temp_output = 'Zone Mean Radiant Temperature'\nrel_humidity_output = 'Zone Air Relative Humidity'\nall_output = [oper_temp_output, air_temp_output, rad_temp_output, rel_humidity_output]\n\n\nif all_required_inputs(ghenv.Component):\n    if os.name == 'nt':  # we are on windows; use IronPython like usual\n        sql_obj = SQLiteResult(_sql)  # create the SQL result parsing object\n        # get all of the results\n        oper_temp = sql_obj.data_collections_by_output_name(oper_temp_output)\n        air_temp = sql_obj.data_collections_by_output_name(air_temp_output)\n        rad_temp = sql_obj.data_collections_by_output_name(rad_temp_output)\n        rel_humidity = sql_obj.data_collections_by_output_name(rel_humidity_output)\n\n    else:  # we are on Mac; sqlite3 module doesn't work in Mac IronPython\n        # Execute the honybee CLI to obtain the results via CPython\n        cmds = [folders.python_exe_path, '-m', 'honeybee_energy', 'result',\n                'data-by-outputs', _sql] + all_output\n        process = subprocess.Popen(cmds, stdout=subprocess.PIPE)\n        stdout = process.communicate()\n        data_coll_dicts = json.loads(stdout[0])\n        # get all of the results\n        oper_temp = serialize_data(data_coll_dicts[0])\n        air_temp = serialize_data(data_coll_dicts[1])\n        rad_temp = serialize_data(data_coll_dicts[2])\n        rel_humidity = serialize_data(data_coll_dicts[3])\n", 
   "category": "HB-Energy", 
   "name": "HB Read Room Comfort Result", 
   "description": "Parse all of the common Room-level comfort-related results from an SQL result\nfile that has been generated from an energy simulation.\n-"