Update the dump data path & doc for visualization tool (#323)
* image update * file path change * dump doc update * doc update * doc update
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@ -170,7 +170,7 @@ env = Env(scenario="cim",
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options={"enable-dump-snapshot": "./dump_data"})
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# Inspect environment with the dump data
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maro inspector dashboard --source_path ./dump_data/snapshot_dump_folder
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maro inspector dashboard --source_path ./dump_data/YOUR_SNAPSHOT_DUMP_FOLDER
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```
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### Show Cases
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@ -41,7 +41,9 @@ this parameter.
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If the value for key "enable-dump-snapshot" of this parameter is an empty string,
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data would be dumped to the folder which start the command.
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If user specifies the value for key "enable-dump-snapshot" of this parameter with the
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path of a local file folder, data would be dumped to this folder.
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path of a local file folder, and the dir_path of the local file folder does exist,
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data would be dumped to this folder. To be specific, each dump request would generate
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a data folder with a timestamp as the suffix in the local file folder.
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.. code-block:: sh
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@ -71,27 +73,22 @@ To start this visualization tool, user need to input command following the forma
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.. code-block:: sh
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maro inspector dashboard --source_path {source\_folder\_path} --force {true/false}
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----
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e.g.
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.. code-block:: sh
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maro inspector dashboard --source_path .\maro\dumper_files --force false
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maro inspector dashboard --source_path SNAPSHOT_DUMP_DATA_FOLDER --force {true/false}
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----
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Parameter **force** refers to regenerate cross-epoch summary data or not, default value is 'true'.
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Parameter **source_path** refers to the path of dumped snapshot files.
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The expected structure of file folder should be like this:
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Parameter **source_path** refers to the path of dumped snapshot files. Every experiment would
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generate a data folder with a timestamp as the suffix, which we refer as SNAPSHOT_DUMP_DATA_FOLDER.
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The input of the parameter **source_path** should be the path of SNAPSHOT_DUMP_DATA_FOLDER.
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Make sure that your SNAPSHOT_DUMP_DATA_FOLDER's structure is similar as following:
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Folder Structure
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.. code-block:: sh
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./LOCAL_DUMPER_DATA_FOLDER
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./SNAPSHOT_DUMP_DATA_FOLDER
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epoch_# # folders to restore data of each epoch.
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{resource_holder}.csv # attributes of current epoch.
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manifest.yml # basic info like scenario name, number of epoches.
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@ -102,6 +99,7 @@ Folder Structure
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----
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If any file is missed compared with the expected folder structure
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displayed above, the command line would prompt users with an error message.
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The visualization tool looks for the free port to launch page in sequence, starting with port 8501.
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@ -12,10 +12,16 @@ local mode for the finished epoch under real-time mode.
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Dependency
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----------
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Env-geographic's startup depends on docker.
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Env-geographic's startup depends on **docker** and **docker-compose**.
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Therefore, users need to install docker on the machine and ensure that it can run normally.
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User could get docker through `Docker installation <https://docs.docker.com/get-docker/>`_.
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We suggest that the version of docker should >= 1.20 and the version of docker-compose
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should >= 1.27.
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For windows users, make sure to switch on your **Hyper-V** service to ensure docker could start successfully.
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Besides, users should make sure that their machine could execute **shell commands** in any directory. We suggest
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that windows users could install git bash to meet this requirement.
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How to Use?
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-----------
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@ -193,7 +193,8 @@ def _render_intra_view_by_ports(
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sample_ratio = helper.get_sample_ratio_selection_list(snapshot_num)
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selected_snapshot_sample_ratio = st.sidebar.select_slider(
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label="Snapshot Sampling Ratio:",
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options=sample_ratio
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options=sample_ratio,
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value=1
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)
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# Accumulated data.
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helper.render_h1_title("CIM Accumulated Data")
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@ -242,7 +243,8 @@ def _render_intra_view_by_snapshot(
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sample_ratio = helper.get_sample_ratio_selection_list(ports_num)
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selected_port_sample_ratio = st.sidebar.select_slider(
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label="Ports Sampling Ratio:",
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options=sample_ratio
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options=sample_ratio,
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value=1
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)
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# Accumulated data.
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helper.render_h1_title("Accumulated Data")
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@ -506,7 +508,8 @@ def _generate_intra_panel_vessel(data_vessel: pd.DataFrame, snapshot_index: int,
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sample_ratio = helper.get_sample_ratio_selection_list(vessels_num)
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selected_vessel_sample_ratio = st.sidebar.select_slider(
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label="Vessels Sampling Ratio:",
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options=sample_ratio
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options=sample_ratio,
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value=1
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)
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down_pooling_sample_list = helper.get_sample_index_list(vessels_num, selected_vessel_sample_ratio)
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data_vessel = data_vessel[
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@ -229,7 +229,8 @@ def _generate_intra_view_by_snapshot(
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# Get sample rate (between 0-1).
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selected_station_sample_ratio = st.sidebar.select_slider(
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label="Station Sampling Ratio",
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options=sample_ratio
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options=sample_ratio,
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value=1
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)
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# Get formula input and output.
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@ -292,7 +293,8 @@ def _generate_intra_view_by_station(
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snapshot_sample_ratio_list = helper.get_sample_ratio_selection_list(snapshot_num)
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selected_snapshot_sample_ratio = st.sidebar.select_slider(
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label="Snapshot Sampling Ratio:",
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options=snapshot_sample_ratio_list
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options=snapshot_sample_ratio_list,
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value=1
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)
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# Get formula input and output.
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data_formula = helper.get_filtered_formula_and_data(
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@ -404,7 +404,8 @@ def _get_sampled_epoch_range(epoch_num: int, sample_ratio: float) -> List[float]
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)
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down_pooling_num = st.sidebar.select_slider(
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label="Epoch Sampling Ratio",
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options=sample_ratio
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options=sample_ratio,
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value=1
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)
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if down_pooling_num == 0:
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return []
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@ -0,0 +1,2 @@
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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT license.
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@ -29,6 +29,11 @@ class DumpConverter:
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now = datetime.now()
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self._foldername = "snapshot_dump_" + now.strftime("%Y_%m_%d_%H_%M_%S_%f")[:-3]
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if parent_path != "":
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dir_path = Path(os.path.dirname(parent_path))
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if not dir_path.exists():
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return
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if not Path(parent_path).exists():
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os.mkdir(parent_path)
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self._foldername = os.path.join(parent_path, self._foldername)
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folder_path = Path(self._foldername)
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